{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "a20290f5-2a26-4622-9e8b-ce94cc1dcb1a"
    },
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "# Estimation of tree height using GEDI dataset - Random Forest prediction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Jupyterlab setup and libraries retrieving **[Just for UBUNTU 24.04]**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To run this lesson properly on osboxes.org you need to have a clean install of jupyterlab using the command line.\n",
    "If you didn't do it for the previous lesson (Python data analysis or Python geospatial analysis), do it for this one, directly on the terminal:\n",
    "\n",
    "    pipx uninstall jupyterlab\n",
    "    pipx install --system-site-packages jupyterlab\n",
    "\n",
    "and just after that, you can procede to install python libraries, using the apt install always in the terminal:\n",
    "\n",
    "    sudo apt install python3-numpy python3-pandas python3-sklearn python3-matplotlib python3-rasterio python3-geopandas python3-seaborn python3-skimage python3-xarray"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Jupyterlab setup and libraries retrieving **[Just for OSGEOLIVE16]**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to run this notebook you need to run this command lines in your terminal:\n",
    "\n",
    "    source $HOME/venv/bin/activate\n",
    "    sudo apt update\n",
    "    sudo apt install python3-pip\n",
    "    pip3 install pyspatialml\n",
    "\n",
    "after that all other needed libraries directly on jupyter with the magic lines (!):\n",
    "\n",
    "    !pip3 install \"pandas>=2.2.2,<3.0.0\" \"numpy>=1.26.4,<2.0.0\" \"rasterio>=1.3.10,<2.0.0\" \"scikit-learn>=1.4.2,<2.0.0\" \"scipy>=1.13.0,<2.0.0\" \"matplotlib>=3.9.0,<4.0.0\" \"xarray>=2024.1.0,<2025.0.0\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Open the notebook lesson"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Open the lesson using the CL\n",
    "\n",
    "    cd /media/sf_LVM_shared/my_SE_data/exercise\n",
    "    jupyter-lab Tree_Height_03RF_pred_SM.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model definition"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find a relationship between tree height and enviromental predictors to be able to predict out side the GEDI observation.  \n",
    "The model, in its simplest form, looks like the following:  \n",
    "\n",
    "    y ~ f ( a*x1 + b*x2 + c*x3 + …)  + ε,  \n",
    "   \n",
    "where y is the **response variable**, the x's are **predictor variables**, and ε is the **associated error**.\n",
    "\n",
    "### Different types of models\n",
    "\n",
    "Parametric models – make assumptions about the underlying distribution of the data:\n",
    "\n",
    "- Maximum likelihood classification,\n",
    "- Discriminant analysis,\n",
    "- General linear models (ex. linear regression)\n",
    "\n",
    "Nonparametric models – make no assumptions about the underlying data distributions:\n",
    "\n",
    "- Generalized additive models,\n",
    "- Support Vector Machine,\n",
    "- Artificial neural networks,\n",
    "- Random Forest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Random forest\n",
    "\n",
    "Random forest is a Supervised Machine Learning Algorithm that is used widely in **Classification** (containing categorical variables) and **Regression** (response continuous variables) problems. It builds decision trees on different samples and takes their majority vote for classification and average in case of regression.  \n",
    "\n",
    "One of the most important features of the Random Forest Algorithm is that it can handle continuous and categorical variables predictors without any assamption on their data distribution, dimension, and even if the predictors are autocorrelated."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Bagging**  \n",
    "Bagging, also known as Bootstrap Aggregation is the ensemble technique used by random forest. Choosesing a random sample from the data set it is creating a tree. Each tree is generated from the samples (Bootstrap Samples) provided by the Original Data with replacement known as row sampling. This step of row sampling with replacement is called bootstrap.\n",
    "Each is trained independently which generates results. The final output is based on majority voting after combining the results of all models. This step which involves combining all the results and generating output based on majority voting is known as tree aggregation.\n",
    "\n",
    "\n",
    "**Steps involved in random forest algorithm:**  \n",
    "\n",
    "* Step 1: In Random forest n number of random records are taken from the data set having k number of records.  \n",
    "\n",
    "* Step 2: Individual decision trees are constructed for each sample.  \n",
    "\n",
    "* Step 3: Each decision tree will generate an output.  \n",
    "* Step 4: Final output is considered based on Majority Voting or Averaging for Classification and regression respectively.  \n",
    " \n",
    "(source https://www.analyticsvidhya.com/blog/2021/06/understanding-random-forest/)\n",
    "\n",
    "![RandomForest](https://www.researchgate.net/publication/354354484/figure/fig4/AS:1080214163595269@1634554534720/Illustration-of-random-forest-trees.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Random Forest test**   \n",
    "In this exercise we will use Random Forest Regression algorithm with the [sklearn](https://scikit-learn.org/stable/) python package to estimage the tree height. \n",
    "In last step, we will see how it was possible to have a prediction on a raster  using [Pyspatialml](https://pyspatialml.readthedocs.io/en/latest/index.html) library (now deprecated) and how we can to the same but using the updated more robust [Xarray](https://docs.xarray.dev/en/stable/getting-started-guide/index.html) and [Rasterio](https://rasterio.readthedocs.io/en/stable/intro.html) libraries for the spatial prediction on the raster files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "nbpresent": {
     "id": "8f67df50-3050-47d2-a5d9-4329a61325fa"
    },
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import rasterio\n",
    "from rasterio import *\n",
    "from rasterio.plot import show\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.model_selection import train_test_split,GridSearchCV\n",
    "from sklearn.pipeline import Pipeline\n",
    "from scipy.stats import pearsonr\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams[\"figure.figsize\"] = (10,6.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "cf3cb8c6-45f0-48de-b171-598ebf92904f"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Data analysis\n",
    "\n",
    "Before everything we need to import the raw data, within the extracted predictors and show whole the data distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>h</th>\n",
       "      <th>BLDFIE_WeigAver</th>\n",
       "      <th>CECSOL_WeigAver</th>\n",
       "      <th>CHELSA_bio18</th>\n",
       "      <th>CHELSA_bio4</th>\n",
       "      <th>convergence</th>\n",
       "      <th>cti</th>\n",
       "      <th>devmagnitude</th>\n",
       "      <th>eastness</th>\n",
       "      <th>elev</th>\n",
       "      <th>forestheight</th>\n",
       "      <th>glad_ard_SVVI_max</th>\n",
       "      <th>glad_ard_SVVI_med</th>\n",
       "      <th>glad_ard_SVVI_min</th>\n",
       "      <th>northness</th>\n",
       "      <th>ORCDRC_WeigAver</th>\n",
       "      <th>outlet_dist_dw_basin</th>\n",
       "      <th>SBIO3_Isothermality_5_15cm</th>\n",
       "      <th>SBIO4_Temperature_Seasonality_5_15cm</th>\n",
       "      <th>treecover</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>6.050001</td>\n",
       "      <td>49.727499</td>\n",
       "      <td>3139.00</td>\n",
       "      <td>1540</td>\n",
       "      <td>13</td>\n",
       "      <td>2113</td>\n",
       "      <td>5893</td>\n",
       "      <td>-10.486560</td>\n",
       "      <td>-238043120</td>\n",
       "      <td>1.158417</td>\n",
       "      <td>0.069094</td>\n",
       "      <td>353.983124</td>\n",
       "      <td>23</td>\n",
       "      <td>276.871094</td>\n",
       "      <td>46.444092</td>\n",
       "      <td>347.665405</td>\n",
       "      <td>0.042500</td>\n",
       "      <td>9</td>\n",
       "      <td>780403</td>\n",
       "      <td>19.798992</td>\n",
       "      <td>440.672211</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>6.050002</td>\n",
       "      <td>49.922155</td>\n",
       "      <td>1454.75</td>\n",
       "      <td>1491</td>\n",
       "      <td>12</td>\n",
       "      <td>1993</td>\n",
       "      <td>5912</td>\n",
       "      <td>33.274361</td>\n",
       "      <td>-208915344</td>\n",
       "      <td>-1.755341</td>\n",
       "      <td>0.269112</td>\n",
       "      <td>267.511688</td>\n",
       "      <td>19</td>\n",
       "      <td>-49.526367</td>\n",
       "      <td>19.552734</td>\n",
       "      <td>-130.541748</td>\n",
       "      <td>0.182780</td>\n",
       "      <td>16</td>\n",
       "      <td>772777</td>\n",
       "      <td>20.889412</td>\n",
       "      <td>457.756195</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>6.050002</td>\n",
       "      <td>48.602377</td>\n",
       "      <td>853.50</td>\n",
       "      <td>1521</td>\n",
       "      <td>17</td>\n",
       "      <td>2124</td>\n",
       "      <td>5983</td>\n",
       "      <td>0.045293</td>\n",
       "      <td>-137479792</td>\n",
       "      <td>1.908780</td>\n",
       "      <td>-0.016055</td>\n",
       "      <td>389.751160</td>\n",
       "      <td>21</td>\n",
       "      <td>93.257324</td>\n",
       "      <td>50.743652</td>\n",
       "      <td>384.522461</td>\n",
       "      <td>0.036253</td>\n",
       "      <td>14</td>\n",
       "      <td>898820</td>\n",
       "      <td>20.695877</td>\n",
       "      <td>481.879700</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>6.050009</td>\n",
       "      <td>48.151979</td>\n",
       "      <td>3141.00</td>\n",
       "      <td>1526</td>\n",
       "      <td>16</td>\n",
       "      <td>2569</td>\n",
       "      <td>6130</td>\n",
       "      <td>-33.654274</td>\n",
       "      <td>-267223072</td>\n",
       "      <td>0.965787</td>\n",
       "      <td>0.067767</td>\n",
       "      <td>380.207703</td>\n",
       "      <td>27</td>\n",
       "      <td>542.401367</td>\n",
       "      <td>202.264160</td>\n",
       "      <td>386.156738</td>\n",
       "      <td>0.005139</td>\n",
       "      <td>15</td>\n",
       "      <td>831824</td>\n",
       "      <td>19.375000</td>\n",
       "      <td>479.410278</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>6.050010</td>\n",
       "      <td>49.588410</td>\n",
       "      <td>2065.25</td>\n",
       "      <td>1547</td>\n",
       "      <td>14</td>\n",
       "      <td>2108</td>\n",
       "      <td>5923</td>\n",
       "      <td>27.493824</td>\n",
       "      <td>-107809368</td>\n",
       "      <td>-0.162624</td>\n",
       "      <td>0.014065</td>\n",
       "      <td>308.042786</td>\n",
       "      <td>25</td>\n",
       "      <td>136.048340</td>\n",
       "      <td>146.835205</td>\n",
       "      <td>198.127441</td>\n",
       "      <td>0.028847</td>\n",
       "      <td>17</td>\n",
       "      <td>796962</td>\n",
       "      <td>18.777500</td>\n",
       "      <td>457.880066</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>6.050014</td>\n",
       "      <td>48.608456</td>\n",
       "      <td>1246.50</td>\n",
       "      <td>1515</td>\n",
       "      <td>19</td>\n",
       "      <td>2124</td>\n",
       "      <td>6010</td>\n",
       "      <td>-1.602039</td>\n",
       "      <td>17384282</td>\n",
       "      <td>1.447979</td>\n",
       "      <td>-0.018912</td>\n",
       "      <td>364.527100</td>\n",
       "      <td>18</td>\n",
       "      <td>221.339844</td>\n",
       "      <td>247.387207</td>\n",
       "      <td>480.387939</td>\n",
       "      <td>0.042747</td>\n",
       "      <td>14</td>\n",
       "      <td>897945</td>\n",
       "      <td>19.398880</td>\n",
       "      <td>474.331329</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>6.050016</td>\n",
       "      <td>48.571401</td>\n",
       "      <td>2938.75</td>\n",
       "      <td>1520</td>\n",
       "      <td>19</td>\n",
       "      <td>2169</td>\n",
       "      <td>6147</td>\n",
       "      <td>27.856503</td>\n",
       "      <td>-66516432</td>\n",
       "      <td>-1.073956</td>\n",
       "      <td>0.002280</td>\n",
       "      <td>254.679596</td>\n",
       "      <td>19</td>\n",
       "      <td>125.250488</td>\n",
       "      <td>87.865234</td>\n",
       "      <td>160.696777</td>\n",
       "      <td>0.037254</td>\n",
       "      <td>11</td>\n",
       "      <td>908426</td>\n",
       "      <td>20.170450</td>\n",
       "      <td>476.414520</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>6.050019</td>\n",
       "      <td>49.921613</td>\n",
       "      <td>3294.75</td>\n",
       "      <td>1490</td>\n",
       "      <td>12</td>\n",
       "      <td>1995</td>\n",
       "      <td>5912</td>\n",
       "      <td>22.102139</td>\n",
       "      <td>-297770784</td>\n",
       "      <td>-1.402633</td>\n",
       "      <td>0.309765</td>\n",
       "      <td>294.927765</td>\n",
       "      <td>26</td>\n",
       "      <td>-86.729492</td>\n",
       "      <td>-145.584229</td>\n",
       "      <td>-190.062988</td>\n",
       "      <td>0.222435</td>\n",
       "      <td>15</td>\n",
       "      <td>772784</td>\n",
       "      <td>20.855963</td>\n",
       "      <td>457.195404</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>6.050020</td>\n",
       "      <td>48.822645</td>\n",
       "      <td>1623.50</td>\n",
       "      <td>1554</td>\n",
       "      <td>18</td>\n",
       "      <td>1973</td>\n",
       "      <td>6138</td>\n",
       "      <td>18.496584</td>\n",
       "      <td>-25336536</td>\n",
       "      <td>-0.800016</td>\n",
       "      <td>0.010370</td>\n",
       "      <td>240.493759</td>\n",
       "      <td>22</td>\n",
       "      <td>-51.470703</td>\n",
       "      <td>-245.886719</td>\n",
       "      <td>172.074707</td>\n",
       "      <td>0.004428</td>\n",
       "      <td>8</td>\n",
       "      <td>839132</td>\n",
       "      <td>21.812290</td>\n",
       "      <td>496.231110</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>6.050024</td>\n",
       "      <td>49.847522</td>\n",
       "      <td>1400.00</td>\n",
       "      <td>1521</td>\n",
       "      <td>15</td>\n",
       "      <td>2187</td>\n",
       "      <td>5886</td>\n",
       "      <td>-5.660453</td>\n",
       "      <td>-278652608</td>\n",
       "      <td>1.477951</td>\n",
       "      <td>-0.068720</td>\n",
       "      <td>376.671143</td>\n",
       "      <td>12</td>\n",
       "      <td>277.297363</td>\n",
       "      <td>273.141846</td>\n",
       "      <td>-138.895996</td>\n",
       "      <td>0.098817</td>\n",
       "      <td>13</td>\n",
       "      <td>768873</td>\n",
       "      <td>21.137711</td>\n",
       "      <td>466.976685</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID         X          Y        h  BLDFIE_WeigAver  CECSOL_WeigAver  \\\n",
       "0   1  6.050001  49.727499  3139.00             1540               13   \n",
       "1   2  6.050002  49.922155  1454.75             1491               12   \n",
       "2   3  6.050002  48.602377   853.50             1521               17   \n",
       "3   4  6.050009  48.151979  3141.00             1526               16   \n",
       "4   5  6.050010  49.588410  2065.25             1547               14   \n",
       "5   6  6.050014  48.608456  1246.50             1515               19   \n",
       "6   7  6.050016  48.571401  2938.75             1520               19   \n",
       "7   8  6.050019  49.921613  3294.75             1490               12   \n",
       "8   9  6.050020  48.822645  1623.50             1554               18   \n",
       "9  10  6.050024  49.847522  1400.00             1521               15   \n",
       "\n",
       "   CHELSA_bio18  CHELSA_bio4  convergence        cti  devmagnitude  eastness  \\\n",
       "0          2113         5893   -10.486560 -238043120      1.158417  0.069094   \n",
       "1          1993         5912    33.274361 -208915344     -1.755341  0.269112   \n",
       "2          2124         5983     0.045293 -137479792      1.908780 -0.016055   \n",
       "3          2569         6130   -33.654274 -267223072      0.965787  0.067767   \n",
       "4          2108         5923    27.493824 -107809368     -0.162624  0.014065   \n",
       "5          2124         6010    -1.602039   17384282      1.447979 -0.018912   \n",
       "6          2169         6147    27.856503  -66516432     -1.073956  0.002280   \n",
       "7          1995         5912    22.102139 -297770784     -1.402633  0.309765   \n",
       "8          1973         6138    18.496584  -25336536     -0.800016  0.010370   \n",
       "9          2187         5886    -5.660453 -278652608      1.477951 -0.068720   \n",
       "\n",
       "         elev  forestheight  glad_ard_SVVI_max  glad_ard_SVVI_med  \\\n",
       "0  353.983124            23         276.871094          46.444092   \n",
       "1  267.511688            19         -49.526367          19.552734   \n",
       "2  389.751160            21          93.257324          50.743652   \n",
       "3  380.207703            27         542.401367         202.264160   \n",
       "4  308.042786            25         136.048340         146.835205   \n",
       "5  364.527100            18         221.339844         247.387207   \n",
       "6  254.679596            19         125.250488          87.865234   \n",
       "7  294.927765            26         -86.729492        -145.584229   \n",
       "8  240.493759            22         -51.470703        -245.886719   \n",
       "9  376.671143            12         277.297363         273.141846   \n",
       "\n",
       "   glad_ard_SVVI_min  northness  ORCDRC_WeigAver  outlet_dist_dw_basin  \\\n",
       "0         347.665405   0.042500                9                780403   \n",
       "1        -130.541748   0.182780               16                772777   \n",
       "2         384.522461   0.036253               14                898820   \n",
       "3         386.156738   0.005139               15                831824   \n",
       "4         198.127441   0.028847               17                796962   \n",
       "5         480.387939   0.042747               14                897945   \n",
       "6         160.696777   0.037254               11                908426   \n",
       "7        -190.062988   0.222435               15                772784   \n",
       "8         172.074707   0.004428                8                839132   \n",
       "9        -138.895996   0.098817               13                768873   \n",
       "\n",
       "   SBIO3_Isothermality_5_15cm  SBIO4_Temperature_Seasonality_5_15cm  treecover  \n",
       "0                   19.798992                            440.672211         85  \n",
       "1                   20.889412                            457.756195         85  \n",
       "2                   20.695877                            481.879700         62  \n",
       "3                   19.375000                            479.410278         85  \n",
       "4                   18.777500                            457.880066         85  \n",
       "5                   19.398880                            474.331329         62  \n",
       "6                   20.170450                            476.414520         96  \n",
       "7                   20.855963                            457.195404         86  \n",
       "8                   21.812290                            496.231110         64  \n",
       "9                   21.137711                            466.976685         70  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictors = pd.read_csv(\"tree_height/txt/eu_x_y_height_predictors_select.txt\", sep=\" \",  index_col=False)\n",
    "pd.set_option('display.max_columns',None)\n",
    "\n",
    "# change column name\n",
    "predictors = predictors.rename({'dev-magnitude':'devmagnitude'} , axis='columns')\n",
    "predictors.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NUMBER OF ROWS: 1267239\n"
     ]
    }
   ],
   "source": [
    "print(\"NUMBER OF ROWS:\",len(predictors))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To deeper analyze data distribution its always good to plot them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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69GiNHDlSX/ziF9Xc3Ozst21bixcvlsfjUVRUlCZPnqw9e/aEfEYwGFRxcbHi4+MVHR2t/Px8HT58OCTj9/vl9XplWZYsy5LX69WJEydCMocOHVJeXp6io6MVHx+vkpISdXd3m54SAAAAAFwwoxLl9/s1YcIEjRgxQlu2bNHevXv17LPP6vOf/7yTWbp0qVasWKGqqirt3LlTbrdb06ZN08mTJ51MaWmpNm7cqOrqajU0NOjUqVPKzc1Vb2+vkykoKFBLS4tqampUU1OjlpYWeb1eZ39vb69mzJih06dPq6GhQdXV1dqwYYPKysou4XIAAAAAwMDCbNu2LzT8xBNP6H/+53/0+9///pz7bduWx+NRaWmpFi5cKOnjVafExEQtWbJE8+fPVyAQ0HXXXae1a9dq1qxZkqQjR44oKSlJmzdvVk5Ojvbt26e0tDQ1NTUpMzNTktTU1KSsrCzt379fqamp2rJli3Jzc9XW1iaPxyNJqq6u1pw5c9TR0aHY2Njznk9nZ6csy1IgELigPK5ceasahnoIl91bxROHeggAAACfWSbdIMLkg998803l5OTom9/8purr63XDDTeoqKhIhYWFkqQDBw7I5/MpOzvbeY/L5dKkSZO0bds2zZ8/X83Nzerp6QnJeDwepaena9u2bcrJyVFjY6Msy3IKlCSNGzdOlmVp27ZtSk1NVWNjo9LT050CJUk5OTkKBoNqbm7W3Xff3W/8wWBQwWAw5EIBw8VARZGCBQAAMHiMfp3vL3/5i1544QWlpKToV7/6lR566CGVlJToZz/7mSTJ5/NJkhITE0Pel5iY6Ozz+XyKjIxUXFzcgJmEhIR+x09ISAjJ9D1OXFycIiMjnUxflZWVznesLMtSUlKSyekDAAAAgFmJOnPmjL70pS+poqJCd955p+bPn6/CwkK98MILIbmwsLCQn23b7retr76Zc+UvJvOPFi1apEAg4Lza2toGHBMAAAAA9GVUoq6//nqlpaWFbBszZowOHTokSXK73ZLUbyWoo6PDWTVyu93q7u6W3+8fMHP06NF+xz927FhIpu9x/H6/enp6+q1QneVyuRQbGxvyAgAAAAATRiVqwoQJevfdd0O2vffee7r55pslScnJyXK73aqrq3P2d3d3q76+XuPHj5ckZWRkaMSIESGZ9vZ2tba2OpmsrCwFAgHt2LHDyWzfvl2BQCAk09raqvb2didTW1srl8uljIwMk9MCAAAAgAtmdGOJ7373uxo/frwqKio0c+ZM7dixQy+++KJefPFFSR//el1paakqKiqUkpKilJQUVVRUaOTIkSooKJAkWZaluXPnqqysTKNHj9aoUaNUXl6usWPHaurUqZI+Xt2aPn26CgsLtXr1aknSvHnzlJubq9TUVElSdna20tLS5PV6tWzZMh0/flzl5eUqLCxkhekz6Gq4+x4AAACGB6MS9eUvf1kbN27UokWL9NRTTyk5OVnPPfecHnjgASezYMECdXV1qaioSH6/X5mZmaqtrVVMTIyTWblypSIiIjRz5kx1dXVpypQpWrNmjcLDw53M+vXrVVJS4tzFLz8/X1VVVc7+8PBwbdq0SUVFRZowYYKioqJUUFCg5cuXX/TFAAAAAIDzMXpO1GcNz4kaPliJGhi3OAcAALg0Jt3A6DtRAAAAAHC1o0QBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgIGIoR4AcFbeqoahHgIAAABwXqxEAQAAAIABShQAAAAAGKBEAQAAAIABShQAAAAAGKBEAQAAAIABShQAAAAAGKBEAQAAAIABShQAAAAAGKBEAQAAAIABShQAAAAAGKBEAQAAAIABShQAAAAAGKBEAQAAAIABShQAAAAAGKBEAQAAAIABShQAAAAAGDAqUYsXL1ZYWFjIy+12O/tt29bixYvl8XgUFRWlyZMna8+ePSGfEQwGVVxcrPj4eEVHRys/P1+HDx8Oyfj9fnm9XlmWJcuy5PV6deLEiZDMoUOHlJeXp+joaMXHx6ukpETd3d2Gpw8AAAAAZoxXom677Ta1t7c7r927dzv7li5dqhUrVqiqqko7d+6U2+3WtGnTdPLkSSdTWlqqjRs3qrq6Wg0NDTp16pRyc3PV29vrZAoKCtTS0qKamhrV1NSopaVFXq/X2d/b26sZM2bo9OnTamhoUHV1tTZs2KCysrKLvQ4AAAAAcEEijN8QERGy+nSWbdt67rnn9OSTT+rrX/+6JOnVV19VYmKiXnvtNc2fP1+BQEAvv/yy1q5dq6lTp0qS1q1bp6SkJG3dulU5OTnat2+fampq1NTUpMzMTEnSSy+9pKysLL377rtKTU1VbW2t9u7dq7a2Nnk8HknSs88+qzlz5ujpp59WbGzsRV8QAAAAABiI8UrU+++/L4/Ho+TkZN133336y1/+Ikk6cOCAfD6fsrOznazL5dKkSZO0bds2SVJzc7N6enpCMh6PR+np6U6msbFRlmU5BUqSxo0bJ8uyQjLp6elOgZKknJwcBYNBNTc3f+LYg8GgOjs7Q14AAAAAYMKoRGVmZupnP/uZfvWrX+mll16Sz+fT+PHj9be//U0+n0+SlJiYGPKexMREZ5/P51NkZKTi4uIGzCQkJPQ7dkJCQkim73Hi4uIUGRnpZM6lsrLS+Z6VZVlKSkoyOX0AAAAAMCtR99xzj77xjW9o7Nixmjp1qjZt2iTp41/bOyssLCzkPbZt99vWV9/MufIXk+lr0aJFCgQCzqutrW3AcQEAAABAX5d0i/Po6GiNHTtW77//vvM9qb4rQR0dHc6qkdvtVnd3t/x+/4CZo0eP9jvWsWPHQjJ9j+P3+9XT09NvheofuVwuxcbGhrwAAAAAwMQllahgMKh9+/bp+uuvV3Jystxut+rq6pz93d3dqq+v1/jx4yVJGRkZGjFiREimvb1dra2tTiYrK0uBQEA7duxwMtu3b1cgEAjJtLa2qr293cnU1tbK5XIpIyPjUk4JAAAAAAZkdHe+8vJy5eXl6aabblJHR4d+9KMfqbOzU7Nnz1ZYWJhKS0tVUVGhlJQUpaSkqKKiQiNHjlRBQYEkybIszZ07V2VlZRo9erRGjRql8vJy59cDJWnMmDGaPn26CgsLtXr1aknSvHnzlJubq9TUVElSdna20tLS5PV6tWzZMh0/flzl5eUqLCxkdQkAAADAZWVUog4fPqz7779ff/3rX3Xddddp3Lhxampq0s033yxJWrBggbq6ulRUVCS/36/MzEzV1tYqJibG+YyVK1cqIiJCM2fOVFdXl6ZMmaI1a9YoPDzcyaxfv14lJSXOXfzy8/NVVVXl7A8PD9emTZtUVFSkCRMmKCoqSgUFBVq+fPklXQwAAAAAOJ8w27btoR7EUOns7JRlWQoEAqxgXQHyVjUM9RA+k94qnjjUQwAAALjimXSDS/pOFAAAAABcbShRAAAAAGCAEgUAAAAABihRAAAAAGCAEgUAAAAABihRAAAAAGCAEgUAAAAABihRAAAAAGAgYqgHgAtzvgfRDpcHqvJAXQAAAAx3rEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgAFKFAAAAAAYoEQBAAAAgIGIoR4A/k/eqoahHgIAAACA82AlCgAAAAAMUKIAAAAAwAAlCgAAAAAMUKIAAAAAwAAlCgAAAAAMUKIAAAAAwAAlCgAAAAAMUKIAAAAAwAAP28WnjocGAwAA4LOMlSgAAAAAMECJAgAAAAADlCgAAAAAMHBJJaqyslJhYWEqLS11ttm2rcWLF8vj8SgqKkqTJ0/Wnj17Qt4XDAZVXFys+Ph4RUdHKz8/X4cPHw7J+P1+eb1eWZYly7Lk9Xp14sSJkMyhQ4eUl5en6OhoxcfHq6SkRN3d3ZdySgAAAAAwoIsuUTt37tSLL76o22+/PWT70qVLtWLFClVVVWnnzp1yu92aNm2aTp486WRKS0u1ceNGVVdXq6GhQadOnVJubq56e3udTEFBgVpaWlRTU6Oamhq1tLTI6/U6+3t7ezVjxgydPn1aDQ0Nqq6u1oYNG1RWVnaxpwQAAAAA53VRJerUqVN64IEH9NJLLykuLs7Zbtu2nnvuOT355JP6+te/rvT0dL366qv68MMP9dprr0mSAoGAXn75ZT377LOaOnWq7rzzTq1bt067d+/W1q1bJUn79u1TTU2N/vM//1NZWVnKysrSSy+9pF/+8pd69913JUm1tbXau3ev1q1bpzvvvFNTp07Vs88+q5deekmdnZ2Xel0AAAAA4JwuqkQ9/PDDmjFjhqZOnRqy/cCBA/L5fMrOzna2uVwuTZo0Sdu2bZMkNTc3q6enJyTj8XiUnp7uZBobG2VZljIzM53MuHHjZFlWSCY9PV0ej8fJ5OTkKBgMqrm5+ZzjDgaD6uzsDHkBAAAAgAnj50RVV1dr165d2rlzZ799Pp9PkpSYmBiyPTExUQcPHnQykZGRIStYZzNn3+/z+ZSQkNDv8xMSEkIyfY8TFxenyMhIJ9NXZWWlfvjDH17IaQIAAADAORmtRLW1tenRRx/VunXrdO21135iLiwsLORn27b7beurb+Zc+YvJ/KNFixYpEAg4r7a2tgHHBAAAAAB9GZWo5uZmdXR0KCMjQxEREYqIiFB9fb1+8pOfKCIiwlkZ6rsS1NHR4exzu93q7u6W3+8fMHP06NF+xz927FhIpu9x/H6/enp6+q1QneVyuRQbGxvyAgAAAAATRiVqypQp2r17t1paWpzXXXfdpQceeEAtLS265ZZb5Ha7VVdX57ynu7tb9fX1Gj9+vCQpIyNDI0aMCMm0t7ertbXVyWRlZSkQCGjHjh1OZvv27QoEAiGZ1tZWtbe3O5na2lq5XC5lZGRcxKUAAAAAgPMz+k5UTEyM0tPTQ7ZFR0dr9OjRzvbS0lJVVFQoJSVFKSkpqqio0MiRI1VQUCBJsixLc+fOVVlZmUaPHq1Ro0apvLxcY8eOdW5UMWbMGE2fPl2FhYVavXq1JGnevHnKzc1VamqqJCk7O1tpaWnyer1atmyZjh8/rvLychUWFrLCBAAAAOCyMb6xxPksWLBAXV1dKioqkt/vV2ZmpmpraxUTE+NkVq5cqYiICM2cOVNdXV2aMmWK1qxZo/DwcCezfv16lZSUOHfxy8/PV1VVlbM/PDxcmzZtUlFRkSZMmKCoqCgVFBRo+fLln/YpAQAAAIAjzLZte6gHMVQ6OztlWZYCgcAVsXqVt6rhot/7VvHET3Ekl+ZSzgOfvivpvw0AAIArlUk3uKjnRAEAAADA1YoSBQAAAAAGKFEAAAAAYIASBQAAAAAGKFEAAAAAYIASBQAAAAAGKFEAAAAAYIASBQAAAAAGIoZ6AAAur4EefsyDeAEAAMyxEgUAAAAABihRAAAAAGCAX+fDRRnoV8QAAACAzzJWogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxEDPUAcOXKW9Uw1EMAAAAArjisRAEAAACAAUoUAAAAABigRAEAAACAAUoUAAAAABigRAEAAACAAUoUAAAAABigRAEAAACAAUoUAAAAABigRAEAAACAAUoUAAAAABigRAEAAACAAUoUAAAAABgwKlEvvPCCbr/9dsXGxio2NlZZWVnasmWLs9+2bS1evFgej0dRUVGaPHmy9uzZE/IZwWBQxcXFio+PV3R0tPLz83X48OGQjN/vl9frlWVZsixLXq9XJ06cCMkcOnRIeXl5io6OVnx8vEpKStTd3W14+shb1fCJLwAAAAD9GZWoG2+8Uc8884z+8Ic/6A9/+IO++tWv6l//9V+dorR06VKtWLFCVVVV2rlzp9xut6ZNm6aTJ086n1FaWqqNGzequrpaDQ0NOnXqlHJzc9Xb2+tkCgoK1NLSopqaGtXU1KilpUVer9fZ39vbqxkzZuj06dNqaGhQdXW1NmzYoLKysku9HgAAAAAwoDDbtu1L+YBRo0Zp2bJlevDBB+XxeFRaWqqFCxdK+njVKTExUUuWLNH8+fMVCAR03XXXae3atZo1a5Yk6ciRI0pKStLmzZuVk5Ojffv2KS0tTU1NTcrMzJQkNTU1KSsrS/v371dqaqq2bNmi3NxctbW1yePxSJKqq6s1Z84cdXR0KDY29oLG3tnZKcuyFAgELvg9l9PlWv15q3jioB8Tw8NA/20AAABcTUy6wUV/J6q3t1fV1dU6ffq0srKydODAAfl8PmVnZzsZl8ulSZMmadu2bZKk5uZm9fT0hGQ8Ho/S09OdTGNjoyzLcgqUJI0bN06WZYVk0tPTnQIlSTk5OQoGg2pubv7EMQeDQXV2doa8AAAAAMCEcYnavXu3Pve5z8nlcumhhx7Sxo0blZaWJp/PJ0lKTEwMyScmJjr7fD6fIiMjFRcXN2AmISGh33ETEhJCMn2PExcXp8jISCdzLpWVlc73rCzLUlJSkuHZAwAAALjaGZeo1NRUtbS0qKmpSd/5znc0e/Zs7d2719kfFhYWkrdtu9+2vvpmzpW/mExfixYtUiAQcF5tbW0DjgsAAAAA+jIuUZGRkfqnf/on3XXXXaqsrNQdd9yhH//4x3K73ZLUbyWoo6PDWTVyu93q7u6W3+8fMHP06NF+xz127FhIpu9x/H6/enp6+q1Q/SOXy+XcWfDsCwAAAABMXPJzomzbVjAYVHJystxut+rq6px93d3dqq+v1/jx4yVJGRkZGjFiREimvb1dra2tTiYrK0uBQEA7duxwMtu3b1cgEAjJtLa2qr293cnU1tbK5XIpIyPjUk8JAAAAAD5RhEn4e9/7nu655x4lJSXp5MmTqq6u1m9/+1vV1NQoLCxMpaWlqqioUEpKilJSUlRRUaGRI0eqoKBAkmRZlubOnauysjKNHj1ao0aNUnl5ucaOHaupU6dKksaMGaPp06ersLBQq1evliTNmzdPubm5Sk1NlSRlZ2crLS1NXq9Xy5Yt0/Hjx1VeXq7CwkJWlwAAAABcVkYl6ujRo/J6vWpvb5dlWbr99ttVU1OjadOmSZIWLFigrq4uFRUVye/3KzMzU7W1tYqJiXE+Y+XKlYqIiNDMmTPV1dWlKVOmaM2aNQoPD3cy69evV0lJiXMXv/z8fFVVVTn7w8PDtWnTJhUVFWnChAmKiopSQUGBli9ffkkX47OK25gDAAAAn55Lfk7UcHa1PCcK+CQ8JwoAAOBjg/KcKAAAAAC4GlGiAAAAAMAAJQoAAAAADFCiAAAAAMAAJQoAAAAADFCiAAAAAMAAJQoAAAAADFCiAAAAAMAAJQoAAAAADFCiAAAAAMBAxFAPAMDQyVvV8In73iqeOIgjAQAAGD5YiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBgVKIqKyv15S9/WTExMUpISNC9996rd999NyRj27YWL14sj8ejqKgoTZ48WXv27AnJBINBFRcXKz4+XtHR0crPz9fhw4dDMn6/X16vV5ZlybIseb1enThxIiRz6NAh5eXlKTo6WvHx8SopKVF3d7fJKQEAAACAEaMSVV9fr4cfflhNTU2qq6vTRx99pOzsbJ0+fdrJLF26VCtWrFBVVZV27twpt9utadOm6eTJk06mtLRUGzduVHV1tRoaGnTq1Cnl5uaqt7fXyRQUFKilpUU1NTWqqalRS0uLvF6vs7+3t1czZszQ6dOn1dDQoOrqam3YsEFlZWWXcj0AAAAAYEBhtm3bF/vmY8eOKSEhQfX19frKV74i27bl8XhUWlqqhQsXSvp41SkxMVFLlizR/PnzFQgEdN1112nt2rWaNWuWJOnIkSNKSkrS5s2blZOTo3379iktLU1NTU3KzMyUJDU1NSkrK0v79+9XamqqtmzZotzcXLW1tcnj8UiSqqurNWfOHHV0dCg2Nva84+/s7JRlWQoEAheUv9zyVjUM9RAAx1vFE4d6CAAAAIPGpBtc0neiAoGAJGnUqFGSpAMHDsjn8yk7O9vJuFwuTZo0Sdu2bZMkNTc3q6enJyTj8XiUnp7uZBobG2VZllOgJGncuHGyLCskk56e7hQoScrJyVEwGFRzc/M5xxsMBtXZ2RnyAgAAAAATF12ibNvWY489pokTJyo9PV2S5PP5JEmJiYkh2cTERGefz+dTZGSk4uLiBswkJCT0O2ZCQkJIpu9x4uLiFBkZ6WT6qqysdL5jZVmWkpKSTE8bAAAAwFXuokvUI488oj/96U/6+c9/3m9fWFhYyM+2bffb1lffzLnyF5P5R4sWLVIgEHBebW1tA44JAAAAAPq6qBJVXFysN998U2+//bZuvPFGZ7vb7ZakfitBHR0dzqqR2+1Wd3e3/H7/gJmjR4/2O+6xY8dCMn2P4/f71dPT02+F6iyXy6XY2NiQFwAAAACYMCpRtm3rkUce0RtvvKHf/OY3Sk5ODtmfnJwst9uturo6Z1t3d7fq6+s1fvx4SVJGRoZGjBgRkmlvb1dra6uTycrKUiAQ0I4dO5zM9u3bFQgEQjKtra1qb293MrW1tXK5XMrIyDA5LQAAAAC4YBEm4Ycfflivvfaa/vu//1sxMTHOSpBlWYqKilJYWJhKS0tVUVGhlJQUpaSkqKKiQiNHjlRBQYGTnTt3rsrKyjR69GiNGjVK5eXlGjt2rKZOnSpJGjNmjKZPn67CwkKtXr1akjRv3jzl5uYqNTVVkpSdna20tDR5vV4tW7ZMx48fV3l5uQoLC1lhAgAAAHDZGJWoF154QZI0efLkkO2vvPKK5syZI0lasGCBurq6VFRUJL/fr8zMTNXW1iomJsbJr1y5UhEREZo5c6a6uro0ZcoUrVmzRuHh4U5m/fr1Kikpce7il5+fr6qqKmd/eHi4Nm3apKKiIk2YMEFRUVEqKCjQ8uXLjS4AAAAAAJi4pOdEDXc8Jwr4ZDwnCgAAXE0G7TlRAAAAAHC1Mfp1PgBXj4FWRlmlAgAAVzNWogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAACUKAAAAAAxQogAAAADAQMRQDwDA8JO3quET971VPHEQRwIAADD4WIkCAAAAAAOUKAAAAAAwQIkCAAAAAAOUKAAAAAAwQIkCAAAAAAOUKAAAAAAwQIkCAAAAAAOUKAAAAAAwQIkCAAAAAAOUKAAAAAAwQIkCAAAAAAOUKAAAAAAwQIkCAAAAAAPGJep3v/ud8vLy5PF4FBYWpl/84hch+23b1uLFi+XxeBQVFaXJkydrz549IZlgMKji4mLFx8crOjpa+fn5Onz4cEjG7/fL6/XKsixZliWv16sTJ06EZA4dOqS8vDxFR0crPj5eJSUl6u7uNj0lAAAAALhgxiXq9OnTuuOOO1RVVXXO/UuXLtWKFStUVVWlnTt3yu12a9q0aTp58qSTKS0t1caNG1VdXa2GhgadOnVKubm56u3tdTIFBQVqaWlRTU2Nampq1NLSIq/X6+zv7e3VjBkzdPr0aTU0NKi6ulobNmxQWVmZ6SkBAAAAwAULs23bvug3h4Vp48aNuvfeeyV9vArl8XhUWlqqhQsXSvp41SkxMVFLlizR/PnzFQgEdN1112nt2rWaNWuWJOnIkSNKSkrS5s2blZOTo3379iktLU1NTU3KzMyUJDU1NSkrK0v79+9XamqqtmzZotzcXLW1tcnj8UiSqqurNWfOHHV0dCg2Nva84+/s7JRlWQoEAheUv9zyVjUM9RCAS/ZW8cShHgIAAIAxk27wqX4n6sCBA/L5fMrOzna2uVwuTZo0Sdu2bZMkNTc3q6enJyTj8XiUnp7uZBobG2VZllOgJGncuHGyLCskk56e7hQoScrJyVEwGFRzc/M5xxcMBtXZ2RnyAgAAAAATn2qJ8vl8kqTExMSQ7YmJic4+n8+nyMhIxcXFDZhJSEjo9/kJCQkhmb7HiYuLU2RkpJPpq7Ky0vmOlWVZSkpKuoizBAAAAHA1uyx35wsLCwv52bbtftv66ps5V/5iMv9o0aJFCgQCzqutrW3AMQEAAABAX59qiXK73ZLUbyWoo6PDWTVyu93q7u6W3+8fMHP06NF+n3/s2LGQTN/j+P1+9fT09FuhOsvlcik2NjbkBQAAAAAmPtUSlZycLLfbrbq6Omdbd3e36uvrNX78eElSRkaGRowYEZJpb29Xa2urk8nKylIgENCOHTuczPbt2xUIBEIyra2tam9vdzK1tbVyuVzKyMj4NE8LAAAAABwRpm84deqU/vznPzs/HzhwQC0tLRo1apRuuukmlZaWqqKiQikpKUpJSVFFRYVGjhypgoICSZJlWZo7d67Kyso0evRojRo1SuXl5Ro7dqymTp0qSRozZoymT5+uwsJCrV69WpI0b9485ebmKjU1VZKUnZ2ttLQ0eb1eLVu2TMePH1d5ebkKCwtZYQIAAABw2RiXqD/84Q+6++67nZ8fe+wxSdLs2bO1Zs0aLViwQF1dXSoqKpLf71dmZqZqa2sVExPjvGflypWKiIjQzJkz1dXVpSlTpmjNmjUKDw93MuvXr1dJSYlzF7/8/PyQZ1OFh4dr06ZNKioq0oQJExQVFaWCggItX77c/CoAAAAAwAW6pOdEDXc8Jwr49PGcKAAAMBwN2XOiAAAAAOCzzvjX+QBgIAOtqLJKBQAAPgtYiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAA5QoAAAAADBAiQIAAAAAAxFDPQAAV4+8VQ2fuO+t4omDOBIAAICLx0oUAAAAABigRAEAAACAAUoUAAAAABigRAEAAACAAUoUAAAAABigRAEAAACAAUoUAAAAABigRAEAAACAAUoUAAAAABigRAEAAACAAUoUAAAAABigRAEAAACAgYihHgAASFLeqoYB979VPHGQRgIAADAwVqIAAAAAwAAlCgAAAAAMUKIAAAAAwAAlCgAAAAAMUKIAAAAAwAAlCgAAAAAMcItzAMPCQLdA5/bnAABgMLESBQAAAAAGKFEAAAAAYIASBQAAAAAGKFEAAAAAYIAbSwAY9rjpBAAAGEysRAEAAACAAUoUAAAAABjg1/kAfKbxq34AAODTxkoUAAAAABgY9itRzz//vJYtW6b29nbddttteu655/Qv//IvQz0sAMMAq1QAAOBiDOsS9frrr6u0tFTPP/+8JkyYoNWrV+uee+7R3r17ddNNNw318AAMYxQsAADwScJs27aHehAXKzMzU1/60pf0wgsvONvGjBmje++9V5WVled9f2dnpyzLUiAQUGxs7OUc6gUZ6B9tAIYHChYAAMOTSTcYtitR3d3dam5u1hNPPBGyPTs7W9u2bTvne4LBoILBoPNzIBCQ9PEFuxL0dJ0e6iEAuETTl/5qqIfwqfj/Hsoa6iEAADCoznaCC1ljGrYl6q9//at6e3uVmJgYsj0xMVE+n++c76msrNQPf/jDftuTkpIuyxgBYLiyFg71CAAAGBonT56UZVkDZoZtiTorLCws5GfbtvttO2vRokV67LHHnJ/PnDmj48ePa/To0Z/4nsuls7NTSUlJamtruyJ+lfBqxTxcGZiHKwPzcGVgHq4MzMPQYw6uDFfTPNi2rZMnT8rj8Zw3O2xLVHx8vMLDw/utOnV0dPRbnTrL5XLJ5XKFbPv85z9/uYZ4QWJjYz/z/0EOB8zDlYF5uDIwD1cG5uHKwDwMPebgynC1zMP5VqDOGrbPiYqMjFRGRobq6upCttfV1Wn8+PFDNCoAAAAAn3XDdiVKkh577DF5vV7dddddysrK0osvvqhDhw7poYceGuqhAQAAAPiMGtYlatasWfrb3/6mp556Su3t7UpPT9fmzZt18803D/XQzsvlcukHP/hBv18vxOBiHq4MzMOVgXm4MjAPVwbmYegxB1cG5uHchvVzogAAAABgsA3b70QBAAAAwFCgRAEAAACAAUoUAAAAABigRAEAAACAAUrUEHn++eeVnJysa6+9VhkZGfr9738/1EMaliorK/XlL39ZMTExSkhI0L333qt33303JGPbthYvXiyPx6OoqChNnjxZe/bsCckEg0EVFxcrPj5e0dHRys/P1+HDh0Myfr9fXq9XlmXJsix5vV6dOHHicp/isFRZWamwsDCVlpY625iHwfHBBx/oW9/6lkaPHq2RI0fqi1/8opqbm539zMPl99FHH+n73/++kpOTFRUVpVtuuUVPPfWUzpw542SYh0/f7373O+Xl5cnj8SgsLEy/+MUvQvYP5jU/dOiQ8vLyFB0drfj4eJWUlKi7u/tynPYVZ6B56Onp0cKFCzV27FhFR0fL4/Ho29/+to4cORLyGczDpTvfn4d/NH/+fIWFhem5554L2c48nIeNQVddXW2PGDHCfumll+y9e/fajz76qB0dHW0fPHhwqIc27OTk5NivvPKK3draare0tNgzZsywb7rpJvvUqVNO5plnnrFjYmLsDRs22Lt377ZnzZplX3/99XZnZ6eTeeihh+wbbrjBrqurs3ft2mXffffd9h133GF/9NFHTmb69Ol2enq6vW3bNnvbtm12enq6nZubO6jnOxzs2LHD/sIXvmDffvvt9qOPPupsZx4uv+PHj9s333yzPWfOHHv79u32gQMH7K1bt9p//vOfnQzzcPn96Ec/skePHm3/8pe/tA8cOGD/13/9l/25z33Ofu6555wM8/Dp27x5s/3kk0/aGzZssCXZGzduDNk/WNf8o48+stPT0+27777b3rVrl11XV2d7PB77kUceuezX4Eow0DycOHHCnjp1qv3666/b+/fvtxsbG+3MzEw7IyMj5DOYh0t3vj8PZ23cuNG+4447bI/HY69cuTJkH/MwMErUEPjnf/5n+6GHHgrZduutt9pPPPHEEI3os6Ojo8OWZNfX19u2bdtnzpyx3W63/cwzzziZv//977ZlWfZPf/pT27Y//h/1ESNG2NXV1U7mgw8+sK+55hq7pqbGtm3b3rt3ry3JbmpqcjKNjY22JHv//v2DcWrDwsmTJ+2UlBS7rq7OnjRpklOimIfBsXDhQnvixImfuJ95GBwzZsywH3zwwZBtX//61+1vfetbtm0zD4Oh7z8aB/Oab9682b7mmmvsDz74wMn8/Oc/t10ulx0IBC7L+V6pBvrH+1k7duywJTn/RzLz8On7pHk4fPiwfcMNN9itra32zTffHFKimIfz49f5Bll3d7eam5uVnZ0dsj07O1vbtm0bolF9dgQCAUnSqFGjJEkHDhyQz+cLud4ul0uTJk1yrndzc7N6enpCMh6PR+np6U6msbFRlmUpMzPTyYwbN06WZTFv/+Dhhx/WjBkzNHXq1JDtzMPgePPNN3XXXXfpm9/8phISEnTnnXfqpZdecvYzD4Nj4sSJ+vWvf6333ntPkvTHP/5RDQ0N+trXviaJeRgKg3nNGxsblZ6eLo/H42RycnIUDAZDfrUWHwsEAgoLC9PnP/95SczDYDlz5oy8Xq8ef/xx3Xbbbf32Mw/nFzHUA7ja/PWvf1Vvb68SExNDticmJsrn8w3RqD4bbNvWY489pokTJyo9PV2SnGt6rut98OBBJxMZGam4uLh+mbPv9/l8SkhI6HfMhIQE5u3/qa6u1q5du7Rz585++5iHwfGXv/xFL7zwgh577DF973vf044dO1RSUiKXy6Vvf/vbzMMgWbhwoQKBgG699VaFh4ert7dXTz/9tO6//35J/HkYCoN5zX0+X7/jxMXFKTIyknnp4+9//7ueeOIJFRQUKDY2VhLzMFiWLFmiiIgIlZSUnHM/83B+lKghEhYWFvKzbdv9tsHMI488oj/96U9qaGjot+9irnffzLnyzNvH2tra9Oijj6q2tlbXXnvtJ+aYh8vrzJkzuuuuu1RRUSFJuvPOO7Vnzx698MIL+va3v+3kmIfL6/XXX9e6dev02muv6bbbblNLS4tKS0vl8Xg0e/ZsJ8c8DL7BuubMy/n19PTovvvu05kzZ/T888+fN888fHqam5v14x//WLt27TK+FszD/+HX+QZZfHy8wsPD+7Xvjo6Ofk0dF664uFhvvvmm3n77bd14443OdrfbLUkDXm+3263u7m75/f4BM0ePHu133GPHjjFv+vh/kDs6OpSRkaGIiAhFRESovr5eP/nJTxQREeFcI+bh8rr++uuVlpYWsm3MmDE6dOiQJP48DJbHH39cTzzxhO677z6NHTtWXq9X3/3ud1VZWSmJeRgKg3nN3W53v+P4/X719PQwL/9PT0+PZs6cqQMHDqiurs5ZhZKYh8Hw+9//Xh0dHbrpppucv7MPHjyosrIyfeELX5DEPFwIStQgi4yMVEZGhurq6kK219XVafz48UM0quHLtm098sgjeuONN/Sb3/xGycnJIfuTk5PldrtDrnd3d7fq6+ud652RkaERI0aEZNrb29Xa2upksrKyFAgEtGPHDiezfft2BQIB5k3SlClTtHv3brW0tDivu+66Sw888IBaWlp0yy23MA+DYMKECf1u8f/ee+/p5ptvlsSfh8Hy4Ycf6pprQv96DQ8Pd25xzjwMvsG85llZWWptbVV7e7uTqa2tlcvlUkZGxmU9z+HgbIF6//33tXXrVo0ePTpkP/Nw+Xm9Xv3pT38K+Tvb4/Ho8ccf169+9StJzMMFGbRbWMBx9hbnL7/8sr137167tLTUjo6Otv/3f/93qIc27HznO9+xLcuyf/vb39rt7e3O68MPP3QyzzzzjG1Zlv3GG2/Yu3fvtu+///5z3tb2xhtvtLdu3Wrv2rXL/upXv3rO23jefvvtdmNjo93Y2GiPHTv2qr2V8IX4x7vz2TbzMBh27NhhR0RE2E8//bT9/vvv2+vXr7dHjhxpr1u3zskwD5ff7Nmz7RtuuMG5xfkbb7xhx8fH2wsWLHAyzMOn7+TJk/Y777xjv/POO7Yke8WKFfY777zj3PVtsK752Vs6T5kyxd61a5e9detW+8Ybb/xM3NL5Qgw0Dz09PXZ+fr5944032i0tLSF/bweDQeczmIdLd74/D331vTufbTMP50OJGiL/8R//Yd988812ZGSk/aUvfcm5JTfMSDrn65VXXnEyZ86csX/wgx/Ybrfbdrlc9le+8hV79+7dIZ/T1dVlP/LII/aoUaPsqKgoOzc31z506FBI5m9/+5v9wAMP2DExMXZMTIz9wAMP2H6/fxDOcnjqW6KYh8Hx1ltv2enp6bbL5bJvvfVW+8UXXwzZzzxcfp2dnfajjz5q33TTTfa1115r33LLLfaTTz4Z8o9E5uHT9/bbb5/z74PZs2fbtj241/zgwYP2jBkz7KioKHvUqFH2I488Yv/973+/nKd/xRhoHg4cOPCJf2+//fbbzmcwD5fufH8e+jpXiWIeBhZm27Y9GCteAAAAAPBZwHeiAAAAAMAAJQoAAAAADFCiAAAAAMAAJQoAAAAADFCiAAAAAMAAJQoAAAAADFCiAAAAAMAAJQoAAAAADFCiAAAAAMAAJQoAAAAADFCiAAAAAMAAJQoAAAAADPz/vUPxI4uw5GgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x650 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(min(predictors['h']),max(predictors['h']),100)\n",
    "plt.hist((predictors['h']),bins,alpha=0.8);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this way we can see where the date spans to, and detect outliers.\n",
    "\n",
    "Indeed, in this case we're gonna select only trees with height below 70m (because in this area, the highest tree detected in germany was 67m https://visit.freiburg.de/en/attractions/waldtraut-germany-s-tallest-tree).\n",
    "\n",
    "And we procede sampling just 100K points out of the 1.2M, to train a lighter model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>h</th>\n",
       "      <th>hm</th>\n",
       "      <th>BLDFIE_WeigAver</th>\n",
       "      <th>CECSOL_WeigAver</th>\n",
       "      <th>CHELSA_bio18</th>\n",
       "      <th>CHELSA_bio4</th>\n",
       "      <th>convergence</th>\n",
       "      <th>cti</th>\n",
       "      <th>devmagnitude</th>\n",
       "      <th>eastness</th>\n",
       "      <th>elev</th>\n",
       "      <th>forestheight</th>\n",
       "      <th>glad_ard_SVVI_max</th>\n",
       "      <th>glad_ard_SVVI_med</th>\n",
       "      <th>glad_ard_SVVI_min</th>\n",
       "      <th>northness</th>\n",
       "      <th>ORCDRC_WeigAver</th>\n",
       "      <th>outlet_dist_dw_basin</th>\n",
       "      <th>SBIO3_Isothermality_5_15cm</th>\n",
       "      <th>SBIO4_Temperature_Seasonality_5_15cm</th>\n",
       "      <th>treecover</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>81999</th>\n",
       "      <td>82000</td>\n",
       "      <td>6.349125</td>\n",
       "      <td>49.644223</td>\n",
       "      <td>2659.75</td>\n",
       "      <td>26.5975</td>\n",
       "      <td>1530</td>\n",
       "      <td>16</td>\n",
       "      <td>2272</td>\n",
       "      <td>5931</td>\n",
       "      <td>21.476559</td>\n",
       "      <td>-141539392</td>\n",
       "      <td>1.694310</td>\n",
       "      <td>-0.040122</td>\n",
       "      <td>331.223236</td>\n",
       "      <td>23</td>\n",
       "      <td>631.313477</td>\n",
       "      <td>214.736084</td>\n",
       "      <td>365.218750</td>\n",
       "      <td>0.057163</td>\n",
       "      <td>25</td>\n",
       "      <td>717991</td>\n",
       "      <td>18.626610</td>\n",
       "      <td>451.421082</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>965362</th>\n",
       "      <td>965363</td>\n",
       "      <td>9.012956</td>\n",
       "      <td>49.690358</td>\n",
       "      <td>2689.50</td>\n",
       "      <td>26.8950</td>\n",
       "      <td>1536</td>\n",
       "      <td>12</td>\n",
       "      <td>2137</td>\n",
       "      <td>6537</td>\n",
       "      <td>15.065849</td>\n",
       "      <td>120771872</td>\n",
       "      <td>-1.399779</td>\n",
       "      <td>-0.072601</td>\n",
       "      <td>242.992401</td>\n",
       "      <td>26</td>\n",
       "      <td>353.459473</td>\n",
       "      <td>270.740967</td>\n",
       "      <td>220.016357</td>\n",
       "      <td>0.026610</td>\n",
       "      <td>9</td>\n",
       "      <td>719463</td>\n",
       "      <td>20.024574</td>\n",
       "      <td>492.804718</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236259</th>\n",
       "      <td>1236260</td>\n",
       "      <td>9.801078</td>\n",
       "      <td>49.395159</td>\n",
       "      <td>2572.00</td>\n",
       "      <td>25.7200</td>\n",
       "      <td>1528</td>\n",
       "      <td>16</td>\n",
       "      <td>2238</td>\n",
       "      <td>6472</td>\n",
       "      <td>16.836056</td>\n",
       "      <td>-162671216</td>\n",
       "      <td>0.910004</td>\n",
       "      <td>-0.033257</td>\n",
       "      <td>418.785919</td>\n",
       "      <td>20</td>\n",
       "      <td>-54.990723</td>\n",
       "      <td>61.513428</td>\n",
       "      <td>257.196045</td>\n",
       "      <td>0.045267</td>\n",
       "      <td>8</td>\n",
       "      <td>806762</td>\n",
       "      <td>19.990988</td>\n",
       "      <td>525.202148</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1115641</th>\n",
       "      <td>1115642</td>\n",
       "      <td>9.382723</td>\n",
       "      <td>49.106039</td>\n",
       "      <td>2370.00</td>\n",
       "      <td>23.7000</td>\n",
       "      <td>1513</td>\n",
       "      <td>15</td>\n",
       "      <td>2407</td>\n",
       "      <td>6637</td>\n",
       "      <td>-24.503428</td>\n",
       "      <td>-231658992</td>\n",
       "      <td>-0.858004</td>\n",
       "      <td>-0.064393</td>\n",
       "      <td>267.034180</td>\n",
       "      <td>4</td>\n",
       "      <td>536.372314</td>\n",
       "      <td>470.607422</td>\n",
       "      <td>432.341064</td>\n",
       "      <td>0.030045</td>\n",
       "      <td>6</td>\n",
       "      <td>784144</td>\n",
       "      <td>19.837236</td>\n",
       "      <td>517.255615</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215407</th>\n",
       "      <td>215408</td>\n",
       "      <td>6.773116</td>\n",
       "      <td>49.944617</td>\n",
       "      <td>1392.00</td>\n",
       "      <td>13.9200</td>\n",
       "      <td>1515</td>\n",
       "      <td>12</td>\n",
       "      <td>1952</td>\n",
       "      <td>6118</td>\n",
       "      <td>26.732821</td>\n",
       "      <td>-193019280</td>\n",
       "      <td>0.534557</td>\n",
       "      <td>-0.005609</td>\n",
       "      <td>300.268585</td>\n",
       "      <td>22</td>\n",
       "      <td>-162.502686</td>\n",
       "      <td>-200.892090</td>\n",
       "      <td>-412.381104</td>\n",
       "      <td>0.056135</td>\n",
       "      <td>15</td>\n",
       "      <td>666767</td>\n",
       "      <td>19.065788</td>\n",
       "      <td>437.629272</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>939859</th>\n",
       "      <td>939860</td>\n",
       "      <td>8.948157</td>\n",
       "      <td>49.643079</td>\n",
       "      <td>2365.25</td>\n",
       "      <td>23.6525</td>\n",
       "      <td>1481</td>\n",
       "      <td>13</td>\n",
       "      <td>2466</td>\n",
       "      <td>6341</td>\n",
       "      <td>-10.630081</td>\n",
       "      <td>-171884224</td>\n",
       "      <td>1.417312</td>\n",
       "      <td>-0.121560</td>\n",
       "      <td>400.390808</td>\n",
       "      <td>26</td>\n",
       "      <td>-52.929199</td>\n",
       "      <td>-124.971191</td>\n",
       "      <td>-149.944336</td>\n",
       "      <td>0.015808</td>\n",
       "      <td>9</td>\n",
       "      <td>737709</td>\n",
       "      <td>19.441750</td>\n",
       "      <td>473.700439</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157727</th>\n",
       "      <td>157728</td>\n",
       "      <td>6.620174</td>\n",
       "      <td>49.837913</td>\n",
       "      <td>3160.75</td>\n",
       "      <td>31.6075</td>\n",
       "      <td>1536</td>\n",
       "      <td>13</td>\n",
       "      <td>2164</td>\n",
       "      <td>6052</td>\n",
       "      <td>-57.077930</td>\n",
       "      <td>-253935056</td>\n",
       "      <td>1.182596</td>\n",
       "      <td>-0.038630</td>\n",
       "      <td>343.578552</td>\n",
       "      <td>24</td>\n",
       "      <td>178.370117</td>\n",
       "      <td>86.893066</td>\n",
       "      <td>392.301758</td>\n",
       "      <td>-0.081356</td>\n",
       "      <td>23</td>\n",
       "      <td>675920</td>\n",
       "      <td>19.584587</td>\n",
       "      <td>443.499878</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376387</th>\n",
       "      <td>376388</td>\n",
       "      <td>7.163473</td>\n",
       "      <td>49.791920</td>\n",
       "      <td>3010.00</td>\n",
       "      <td>30.1000</td>\n",
       "      <td>1352</td>\n",
       "      <td>12</td>\n",
       "      <td>2377</td>\n",
       "      <td>5621</td>\n",
       "      <td>-3.525097</td>\n",
       "      <td>-193161968</td>\n",
       "      <td>3.196814</td>\n",
       "      <td>0.090454</td>\n",
       "      <td>699.986816</td>\n",
       "      <td>22</td>\n",
       "      <td>435.113525</td>\n",
       "      <td>436.794434</td>\n",
       "      <td>406.962158</td>\n",
       "      <td>-0.108846</td>\n",
       "      <td>32</td>\n",
       "      <td>638925</td>\n",
       "      <td>22.397139</td>\n",
       "      <td>416.059174</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426482</th>\n",
       "      <td>426483</td>\n",
       "      <td>7.277403</td>\n",
       "      <td>49.534507</td>\n",
       "      <td>277.75</td>\n",
       "      <td>2.7775</td>\n",
       "      <td>1494</td>\n",
       "      <td>15</td>\n",
       "      <td>2251</td>\n",
       "      <td>6162</td>\n",
       "      <td>7.484096</td>\n",
       "      <td>-268103968</td>\n",
       "      <td>0.745217</td>\n",
       "      <td>0.029769</td>\n",
       "      <td>391.105804</td>\n",
       "      <td>14</td>\n",
       "      <td>-40.088135</td>\n",
       "      <td>-26.999023</td>\n",
       "      <td>-72.698975</td>\n",
       "      <td>0.078123</td>\n",
       "      <td>12</td>\n",
       "      <td>641196</td>\n",
       "      <td>20.374083</td>\n",
       "      <td>485.715973</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286481</th>\n",
       "      <td>286482</td>\n",
       "      <td>6.954634</td>\n",
       "      <td>48.417400</td>\n",
       "      <td>2362.50</td>\n",
       "      <td>23.6250</td>\n",
       "      <td>1331</td>\n",
       "      <td>20</td>\n",
       "      <td>3297</td>\n",
       "      <td>6108</td>\n",
       "      <td>15.627705</td>\n",
       "      <td>-346475904</td>\n",
       "      <td>0.985921</td>\n",
       "      <td>0.047404</td>\n",
       "      <td>547.931702</td>\n",
       "      <td>33</td>\n",
       "      <td>-2.996826</td>\n",
       "      <td>-0.247314</td>\n",
       "      <td>-181.765503</td>\n",
       "      <td>0.207945</td>\n",
       "      <td>50</td>\n",
       "      <td>960411</td>\n",
       "      <td>21.377501</td>\n",
       "      <td>454.721680</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              ID         X          Y        h       hm  BLDFIE_WeigAver  \\\n",
       "81999      82000  6.349125  49.644223  2659.75  26.5975             1530   \n",
       "965362    965363  9.012956  49.690358  2689.50  26.8950             1536   \n",
       "1236259  1236260  9.801078  49.395159  2572.00  25.7200             1528   \n",
       "1115641  1115642  9.382723  49.106039  2370.00  23.7000             1513   \n",
       "215407    215408  6.773116  49.944617  1392.00  13.9200             1515   \n",
       "939859    939860  8.948157  49.643079  2365.25  23.6525             1481   \n",
       "157727    157728  6.620174  49.837913  3160.75  31.6075             1536   \n",
       "376387    376388  7.163473  49.791920  3010.00  30.1000             1352   \n",
       "426482    426483  7.277403  49.534507   277.75   2.7775             1494   \n",
       "286481    286482  6.954634  48.417400  2362.50  23.6250             1331   \n",
       "\n",
       "         CECSOL_WeigAver  CHELSA_bio18  CHELSA_bio4  convergence        cti  \\\n",
       "81999                 16          2272         5931    21.476559 -141539392   \n",
       "965362                12          2137         6537    15.065849  120771872   \n",
       "1236259               16          2238         6472    16.836056 -162671216   \n",
       "1115641               15          2407         6637   -24.503428 -231658992   \n",
       "215407                12          1952         6118    26.732821 -193019280   \n",
       "939859                13          2466         6341   -10.630081 -171884224   \n",
       "157727                13          2164         6052   -57.077930 -253935056   \n",
       "376387                12          2377         5621    -3.525097 -193161968   \n",
       "426482                15          2251         6162     7.484096 -268103968   \n",
       "286481                20          3297         6108    15.627705 -346475904   \n",
       "\n",
       "         devmagnitude  eastness        elev  forestheight  glad_ard_SVVI_max  \\\n",
       "81999        1.694310 -0.040122  331.223236            23         631.313477   \n",
       "965362      -1.399779 -0.072601  242.992401            26         353.459473   \n",
       "1236259      0.910004 -0.033257  418.785919            20         -54.990723   \n",
       "1115641     -0.858004 -0.064393  267.034180             4         536.372314   \n",
       "215407       0.534557 -0.005609  300.268585            22        -162.502686   \n",
       "939859       1.417312 -0.121560  400.390808            26         -52.929199   \n",
       "157727       1.182596 -0.038630  343.578552            24         178.370117   \n",
       "376387       3.196814  0.090454  699.986816            22         435.113525   \n",
       "426482       0.745217  0.029769  391.105804            14         -40.088135   \n",
       "286481       0.985921  0.047404  547.931702            33          -2.996826   \n",
       "\n",
       "         glad_ard_SVVI_med  glad_ard_SVVI_min  northness  ORCDRC_WeigAver  \\\n",
       "81999           214.736084         365.218750   0.057163               25   \n",
       "965362          270.740967         220.016357   0.026610                9   \n",
       "1236259          61.513428         257.196045   0.045267                8   \n",
       "1115641         470.607422         432.341064   0.030045                6   \n",
       "215407         -200.892090        -412.381104   0.056135               15   \n",
       "939859         -124.971191        -149.944336   0.015808                9   \n",
       "157727           86.893066         392.301758  -0.081356               23   \n",
       "376387          436.794434         406.962158  -0.108846               32   \n",
       "426482          -26.999023         -72.698975   0.078123               12   \n",
       "286481           -0.247314        -181.765503   0.207945               50   \n",
       "\n",
       "         outlet_dist_dw_basin  SBIO3_Isothermality_5_15cm  \\\n",
       "81999                  717991                   18.626610   \n",
       "965362                 719463                   20.024574   \n",
       "1236259                806762                   19.990988   \n",
       "1115641                784144                   19.837236   \n",
       "215407                 666767                   19.065788   \n",
       "939859                 737709                   19.441750   \n",
       "157727                 675920                   19.584587   \n",
       "376387                 638925                   22.397139   \n",
       "426482                 641196                   20.374083   \n",
       "286481                 960411                   21.377501   \n",
       "\n",
       "         SBIO4_Temperature_Seasonality_5_15cm  treecover  \n",
       "81999                              451.421082         86  \n",
       "965362                             492.804718         75  \n",
       "1236259                            525.202148         82  \n",
       "1115641                            517.255615         29  \n",
       "215407                             437.629272         74  \n",
       "939859                             473.700439         89  \n",
       "157727                             443.499878        100  \n",
       "376387                             416.059174         87  \n",
       "426482                             485.715973         75  \n",
       "286481                             454.721680         95  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictors_sel = predictors.loc[(predictors['h'] < 7000)  ].sample(100000)\n",
    "\n",
    "# add a height column in meter\n",
    "predictors_sel.insert ( 4, 'hm' ,  predictors_sel['h']/100 ) \n",
    "\n",
    "# overlook\n",
    "predictors_sel.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NUMBER OF ROWS: 100000\n"
     ]
    }
   ],
   "source": [
    "print(\"NUMBER OF ROWS:\",len(predictors_sel))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can see again the data distribution with the same plotting used before"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(min(predictors_sel['hm']),max(predictors_sel['hm']),100)\n",
    "plt.hist((predictors_sel['hm']),bins,alpha=0.8);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To have a comparison we'll analyze the **The Global Forest Canopy Height, 2019 map**.\n",
    "This has been released in 2020 (within a scientific publication https://doi.org/10.1016/j.rse.2020.112165). \n",
    "\n",
    "The authors used a regression tree model that was calibrated and applied to each individual Landsat GLAD ARD tile (1° × 1°) in a “moving window” mode. \n",
    "\n",
    "This tree height estimation its available as forestheight.tiff and their extracted values available in the table as forestheight column.\n",
    "\n",
    "To see how this model performed we can see a correlation plot and its calculated pearson coefficient."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x712ff962c980>]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (8,6)\n",
    "plt.scatter(predictors['h']/100,predictors['forestheight'])\n",
    "plt.xlabel('sensed tree height\\n (m)')\n",
    "plt.ylabel('estimated tree height\\n (m)')\n",
    "ident = [0, 50]\n",
    "plt.plot(ident,ident,'r--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PEARSON CORRELATION COEFFINCENT: 0.4527925130004339\n"
     ]
    }
   ],
   "source": [
    "# calculating the pearson correlation index\n",
    "pearsonr_Publication_Estimation = pearsonr(predictors['h'],predictors['forestheight'])[0]\n",
    "\n",
    "print(\"PEARSON CORRELATION COEFFINCENT:\", pearsonr_Publication_Estimation)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this procedure we will try to outperform this model Pearson Correlation Coefficent.\n",
    "\n",
    "To do that we're gonna use a more advanced Machine Learning architecture with some more and different enviromental predictors that could better express the ecological asset and the physical conditions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data set splitting\n",
    "\n",
    "To procede we need to split the dataset (*predictors_sel*) in order to create the response variable table that will be used against the predictors variables (excluding the forestheight predictors)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = predictors_sel.iloc[:,[5,6,7,8,9,10,11,12,13,15,16,17,18,19,20,21,22,23]].values\n",
    "Y = predictors_sel.iloc[:,4:5].values\n",
    "feat = predictors_sel.iloc[:,[5,6,7,8,9,10,11,12,13,15,16,17,18,19,20,21,22,23]].columns.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Its always good to double check that we select the right columns in the right order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['BLDFIE_WeigAver', 'CECSOL_WeigAver', 'CHELSA_bio18',\n",
       "       'CHELSA_bio4', 'convergence', 'cti', 'devmagnitude', 'eastness',\n",
       "       'elev', 'glad_ard_SVVI_max', 'glad_ard_SVVI_med',\n",
       "       'glad_ard_SVVI_min', 'northness', 'ORCDRC_WeigAver',\n",
       "       'outlet_dist_dw_basin', 'SBIO3_Isothermality_5_15cm',\n",
       "       'SBIO4_Temperature_Seasonality_5_15cm', 'treecover'], dtype=object)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RESPONSE VARIABLE DIMENSION: (100000, 1)\n"
     ]
    }
   ],
   "source": [
    "print(\"RESPONSE VARIABLE DIMENSION:\", Y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PREDICTING FEATURES DIMENSION: (100000, 18)\n"
     ]
    }
   ],
   "source": [
    "print(\"PREDICTING FEATURES DIMENSION:\", X.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can create 4 different dataset:\n",
    "- 2 for model algorithm training (*X_train* and *Y_train*)\n",
    "- 2 for model testing (*X_test* and *Y_test*) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.5, random_state=42)\n",
    "y_train = np.ravel(Y_train)\n",
    "y_test = np.ravel(Y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Random Forest default parameters\n",
    "\n",
    "Random Forest can be implemented using the [RandomForestRegressor in scikit-learn](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html)\n",
    "\n",
    "We can procede on training the Random Forest model using its default parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'bootstrap': True,\n",
       " 'ccp_alpha': 0.0,\n",
       " 'criterion': 'squared_error',\n",
       " 'max_depth': None,\n",
       " 'max_features': 1.0,\n",
       " 'max_leaf_nodes': None,\n",
       " 'max_samples': None,\n",
       " 'min_impurity_decrease': 0.0,\n",
       " 'min_samples_leaf': 1,\n",
       " 'min_samples_split': 2,\n",
       " 'min_weight_fraction_leaf': 0.0,\n",
       " 'monotonic_cst': None,\n",
       " 'n_estimators': 100,\n",
       " 'n_jobs': None,\n",
       " 'oob_score': False,\n",
       " 'random_state': 42,\n",
       " 'verbose': 0,\n",
       " 'warm_start': False}"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf = RandomForestRegressor(random_state = 42)\n",
    "rf.get_params()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PEARSON CORRELATION COEFFINCENT: [0.6035710046325166, 0.506707480767017]\n"
     ]
    }
   ],
   "source": [
    "rfReg = RandomForestRegressor(min_samples_leaf=50, oob_score=True)\n",
    "rfReg.fit(X_train, y_train);\n",
    "dic_pred = {}\n",
    "dic_pred['train'] = rfReg.predict(X_train)\n",
    "dic_pred['test'] = rfReg.predict(X_test)\n",
    "pearsonr_all = [pearsonr(dic_pred['train'],y_train)[0],pearsonr(dic_pred['test'],y_test)[0]]\n",
    "print(\"PEARSON CORRELATION COEFFINCENT:\", pearsonr_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OUT OF BAG SCORE: 0.2625683482738882\n"
     ]
    }
   ],
   "source": [
    "# checking the oob score\n",
    "print(\"OUT OF BAG SCORE:\", rfReg.oob_score_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Additional resources that can be used to reduce more the oob error can be found at:\n",
    "\n",
    "https://scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x712ff7839910>]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (8,6)\n",
    "plt.scatter(y_train,dic_pred['train'])\n",
    "plt.xlabel('Training GEDI Height (all dataset)\\n (m)')\n",
    "plt.ylabel('Training Tree Height prediction\\n (m)')\n",
    "ident = [0, 50]\n",
    "plt.plot(ident,ident,'r--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x712ff7a23f50>]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (8,6)\n",
    "plt.scatter(y_test,dic_pred['test'])\n",
    "plt.xlabel('Testing GEDI Height (all dataset)\\n (m)')\n",
    "plt.ylabel('Testing Tree Height prediction\\n (m)')\n",
    "ident = [0, 50]\n",
    "plt.plot(ident,ident,'r--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "impt = [rfReg.feature_importances_, np.std([tree.feature_importances_ for tree in rfReg.estimators_],axis=1)] \n",
    "ind = np.argsort(impt[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1, 13,  0,  4,  6,  8, 16,  2, 15,  5, 12,  3, 11,  9, 14,  7, 10,\n",
       "       17])"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ind"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "To deeper analyze model behaviour in response variable regression we can extract the Feature Importance Ranking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (6,10)\n",
    "plt.barh(range(len(feat)),impt[0][ind],color=\"b\", xerr=impt[1][ind], align=\"center\")\n",
    "plt.yticks(range(len(feat)),feat[ind]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Model tuning whith Hyperparameters Tweeking\n",
    "\n",
    "To improve model performance we can use tools like *GridSearchCV* to find with a recursive search the best combination of all model hyperparameters imployed.\n",
    "\n",
    "Hyperparameters that were setted as default in the first model run, like:\n",
    "* \"max_features\": number of features to consider when looking for the best split. \n",
    "* \"max_samples\": number of samples to draw from X to train each base estimator.\n",
    "* \"n_estimators\": identify the number of trees that must grow. It must be large enough so that the error is stabilized. Defoult 100.\n",
    "* \"max_depth\": max number of levels in each decision tree."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By using this code we can tune up those parameters to improve the algoirithm performance (this code is not runned directly because of its big computational demand as for time and memory perspective)\n",
    "\n",
    "\n",
    "    pipeline = Pipeline([('rf',RandomForestRegressor())])\n",
    "\n",
    "    parameters = {\n",
    "            'rf__max_features':(3,4,5),\n",
    "            'rf__max_samples':(0.5,0.6,0.7),\n",
    "            'rf__n_estimators':(500,1000),\n",
    "            'rf__max_depth':(50,100,200,300)}\n",
    "\n",
    "    grid_search = GridSearchCV(pipeline,parameters,n_jobs=6,cv=5,scoring='r2',verbose=1)\n",
    "    grid_search.fit(X_train,y_train)\n",
    "    \n",
    "\n",
    "    rfReg = RandomForestRegressor(n_estimators=5000,max_features=0.33,max_depth=500,max_samples=0.7,n_jobs=-1,random_state=24 , oob_score = True) \n",
    "    rfReg.fit(X_train, y_train); \n",
    "    dic_pred = {} \n",
    "    dic_pred['train'] = rfReg.predict(X_train) \n",
    "    dic_pred['test'] = rfReg.predict(X_test) \n",
    "    pearsonr_all_tune = [pearsonr(dic_pred['train'],y_train)[0],pearsonr(dic_pred['test'],y_test)[0]] \n",
    "    pearsonr_all_tune\n",
    "\n",
    "    grid_search.best_score_\n",
    "\n",
    "    print ('Best Training score: %0.3f' % grid_search.best_score_) \n",
    "    print ('Optimal parameters:') best_par = grid_search.best_estimator_.get_params() \n",
    "    for par_name in sorted(parameters.keys()): \n",
    "        print ('\\t%s: %r' % (par_name, best_par[par_name]))\n",
    "        \n",
    "Tracking the error rate trend as in https://scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Features importance ranking shows that the most important variable is treecover followed by Spectral Variability Vegetation Index, and outlet_dist_dw_basin which is a proxy of water accumulation.\n",
    "\n",
    "Besides eastness and northness describes microclimat condition."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model tuning with data selection\n",
    "\n",
    "We can enhance the model performance also by having a wise data selection.\n",
    "\n",
    "In this case we can have it based on data quality flag (available in the dataset) to select more reilable tree height points."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**File storing tree hight (cm) obtained by 6 algorithms, with their associate quality flags.**\n",
    "The quality flags can be used to refine and select the best tree height estimation and use it as tree height observation.\n",
    "\n",
    "* a?_95: tree hight (cm) at 95 quintile, for each algorithm  \n",
    "* min_rh_95: minimum value of tree hight (cm) ammong the 6 algorithms  \n",
    "* max_rh_95: maximum value of tree hight (cm) ammong the 6 algorithms  \n",
    "* BEAM: 1-4 coverage beam = lower power (worse) ; 5-8 power beam = higher power (better)  \n",
    "* digital_elev: digital mdoel elevation  \n",
    "* elev_low: elevation of center of lowest mode  \n",
    "* qc_a?: quality_flag for six algorithms quality_flag = 1 (better); = 0 (worse)  \n",
    "* se_a?: sensitivity for six algorithms sensitivity < 0.95 (worse);  sensitivity > 0.95  (beter )  \n",
    "* deg_fg: (degrade_flag) not-degraded 0 (better) ;  degraded > 0 (worse)  \n",
    "* solar_ele: solar elevation. > 0 day (worse); < 0 night (better)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>a1_95</th>\n",
       "      <th>a2_95</th>\n",
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       "      <th>min_rh_95</th>\n",
       "      <th>max_rh_95</th>\n",
       "      <th>BEAM</th>\n",
       "      <th>digital_elev</th>\n",
       "      <th>elev_low</th>\n",
       "      <th>qc_a1</th>\n",
       "      <th>qc_a2</th>\n",
       "      <th>qc_a3</th>\n",
       "      <th>qc_a4</th>\n",
       "      <th>qc_a5</th>\n",
       "      <th>qc_a6</th>\n",
       "      <th>se_a1</th>\n",
       "      <th>se_a2</th>\n",
       "      <th>se_a3</th>\n",
       "      <th>se_a4</th>\n",
       "      <th>se_a5</th>\n",
       "      <th>se_a6</th>\n",
       "      <th>deg_fg</th>\n",
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       "      <td>0.989</td>\n",
       "      <td>0.979</td>\n",
       "      <td>0</td>\n",
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       "      <td>1022</td>\n",
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       "      <td>0.948</td>\n",
       "      <td>0.990</td>\n",
       "      <td>0.960</td>\n",
       "      <td>0.948</td>\n",
       "      <td>0.994</td>\n",
       "      <td>0.980</td>\n",
       "      <td>0</td>\n",
       "      <td>43.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>6.050002</td>\n",
       "      <td>48.602377</td>\n",
       "      <td>380</td>\n",
       "      <td>1336</td>\n",
       "      <td>332</td>\n",
       "      <td>362</td>\n",
       "      <td>1336</td>\n",
       "      <td>1340</td>\n",
       "      <td>332</td>\n",
       "      <td>1340</td>\n",
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       "      <td>440.0</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>0.947</td>\n",
       "      <td>0.975</td>\n",
       "      <td>0.956</td>\n",
       "      <td>0.947</td>\n",
       "      <td>0.981</td>\n",
       "      <td>0.968</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>6.050009</td>\n",
       "      <td>48.151979</td>\n",
       "      <td>3153</td>\n",
       "      <td>3142</td>\n",
       "      <td>3142</td>\n",
       "      <td>3127</td>\n",
       "      <td>3138</td>\n",
       "      <td>3142</td>\n",
       "      <td>3127</td>\n",
       "      <td>3153</td>\n",
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       "      <td>450.0</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.930</td>\n",
       "      <td>0.970</td>\n",
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       "      <td>-14.2</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>6.050010</td>\n",
       "      <td>49.588410</td>\n",
       "      <td>666</td>\n",
       "      <td>4221</td>\n",
       "      <td>651</td>\n",
       "      <td>33</td>\n",
       "      <td>5611</td>\n",
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       "      <td>5611</td>\n",
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       "      <td>0.969</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>6.050014</td>\n",
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       "      <td>787</td>\n",
       "      <td>1179</td>\n",
       "      <td>1187</td>\n",
       "      <td>761</td>\n",
       "      <td>1833</td>\n",
       "      <td>1833</td>\n",
       "      <td>761</td>\n",
       "      <td>1833</td>\n",
       "      <td>3</td>\n",
       "      <td>420.0</td>\n",
       "      <td>415.51581</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.952</td>\n",
       "      <td>0.979</td>\n",
       "      <td>0.961</td>\n",
       "      <td>0.952</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.975</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   ID         X          Y  a1_95  a2_95  a3_95  a4_95  a5_95  a6_95  \\\n",
       "0   1  6.050001  49.727499   3139   3139   3139   3120   3139   3139   \n",
       "1   2  6.050002  49.922155   1022   2303    970    872   5596   1524   \n",
       "2   3  6.050002  48.602377    380   1336    332    362   1336   1340   \n",
       "3   4  6.050009  48.151979   3153   3142   3142   3127   3138   3142   \n",
       "4   5  6.050010  49.588410    666   4221    651     33   5611   2723   \n",
       "5   6  6.050014  48.608456    787   1179   1187    761   1833   1833   \n",
       "\n",
       "   min_rh_95  max_rh_95  BEAM  digital_elev    elev_low  qc_a1  qc_a2  qc_a3  \\\n",
       "0       3120       3139     5         410.0   383.72153      1      1      1   \n",
       "1        872       5596     5         290.0  2374.14110      0      0      0   \n",
       "2        332       1340     4         440.0   435.97781      1      1      1   \n",
       "3       3127       3153     2         450.0   422.00537      1      1      1   \n",
       "4         33       5611     8         370.0  2413.74830      0      0      0   \n",
       "5        761       1833     3         420.0   415.51581      1      1      1   \n",
       "\n",
       "   qc_a4  qc_a5  qc_a6  se_a1  se_a2  se_a3  se_a4  se_a5  se_a6  deg_fg  \\\n",
       "0      1      1      1  0.962  0.984  0.968  0.962  0.989  0.979       0   \n",
       "1      0      0      0  0.948  0.990  0.960  0.948  0.994  0.980       0   \n",
       "2      1      1      1  0.947  0.975  0.956  0.947  0.981  0.968       0   \n",
       "3      1      1      1  0.930  0.970  0.943  0.930  0.978  0.962       0   \n",
       "4      0      0      0  0.941  0.983  0.946  0.941  0.992  0.969       0   \n",
       "5      1      1      1  0.952  0.979  0.961  0.952  0.986  0.975       0   \n",
       "\n",
       "   solar_ele  \n",
       "0       17.7  \n",
       "1       43.7  \n",
       "2        0.2  \n",
       "3      -14.2  \n",
       "4       22.1  \n",
       "5        0.2  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "height_6algorithms = pd.read_csv(\"tree_height/txt/eu_y_x_select_6algorithms_fullTable.txt\", sep=\" \",  index_col=False)\n",
    "pd.set_option('display.max_columns',None)\n",
    "height_6algorithms.head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "height_6algorithms_sel = height_6algorithms.loc[(height_6algorithms['BEAM'] > 4) \n",
    "                                            &   (height_6algorithms['qc_a1'] == 1)\n",
    "                                            &   (height_6algorithms['qc_a2'] == 1)\n",
    "                                            &   (height_6algorithms['qc_a3'] == 1)    \n",
    "                                            &   (height_6algorithms['qc_a4'] == 1)    \n",
    "                                            &   (height_6algorithms['qc_a5'] == 1)    \n",
    "                                            &   (height_6algorithms['qc_a6'] == 1)\n",
    "                                            &   (height_6algorithms['se_a1'] > 0.95)    \n",
    "                                            &   (height_6algorithms['se_a2'] > 0.95)\n",
    "                                            &   (height_6algorithms['se_a3'] > 0.95)\n",
    "                                            &   (height_6algorithms['se_a4'] > 0.95)\n",
    "                                            &   (height_6algorithms['se_a5'] > 0.95)   \n",
    "                                            &   (height_6algorithms['se_a6'] > 0.95)\n",
    "                                            &   (height_6algorithms['deg_fg'] == 0)  \n",
    "                                            &   (height_6algorithms['solar_ele'] < 0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.988</td>\n",
       "      <td>0.976</td>\n",
       "      <td>0.971</td>\n",
       "      <td>0.992</td>\n",
       "      <td>0.984</td>\n",
       "      <td>0</td>\n",
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       "      <th>11</th>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.975</td>\n",
       "      <td>0.990</td>\n",
       "      <td>0.979</td>\n",
       "      <td>0.975</td>\n",
       "      <td>0.994</td>\n",
       "      <td>0.987</td>\n",
       "      <td>0</td>\n",
       "      <td>-37.3</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>6.050046</td>\n",
       "      <td>49.865317</td>\n",
       "      <td>1398</td>\n",
       "      <td>2505</td>\n",
       "      <td>2509</td>\n",
       "      <td>1316</td>\n",
       "      <td>2848</td>\n",
       "      <td>2505</td>\n",
       "      <td>1316</td>\n",
       "      <td>2848</td>\n",
       "      <td>6</td>\n",
       "      <td>340.0</td>\n",
       "      <td>330.40564</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.973</td>\n",
       "      <td>0.990</td>\n",
       "      <td>0.979</td>\n",
       "      <td>0.973</td>\n",
       "      <td>0.994</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0</td>\n",
       "      <td>-18.2</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>6.050048</td>\n",
       "      <td>49.050020</td>\n",
       "      <td>984</td>\n",
       "      <td>943</td>\n",
       "      <td>947</td>\n",
       "      <td>958</td>\n",
       "      <td>2617</td>\n",
       "      <td>947</td>\n",
       "      <td>943</td>\n",
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       "      <th>16</th>\n",
       "      <td>17</td>\n",
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       "      <td>0.984</td>\n",
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       "      <td>-5.1</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1267207</th>\n",
       "      <td>1267208</td>\n",
       "      <td>9.949829</td>\n",
       "      <td>49.216272</td>\n",
       "      <td>2160</td>\n",
       "      <td>2816</td>\n",
       "      <td>2816</td>\n",
       "      <td>2104</td>\n",
       "      <td>3299</td>\n",
       "      <td>2816</td>\n",
       "      <td>2104</td>\n",
       "      <td>3299</td>\n",
       "      <td>8</td>\n",
       "      <td>420.0</td>\n",
       "      <td>386.44556</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.980</td>\n",
       "      <td>0.993</td>\n",
       "      <td>0.984</td>\n",
       "      <td>0.980</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.989</td>\n",
       "      <td>0</td>\n",
       "      <td>-16.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267211</th>\n",
       "      <td>1267212</td>\n",
       "      <td>9.949856</td>\n",
       "      <td>49.881190</td>\n",
       "      <td>3190</td>\n",
       "      <td>3179</td>\n",
       "      <td>3179</td>\n",
       "      <td>3171</td>\n",
       "      <td>3822</td>\n",
       "      <td>3179</td>\n",
       "      <td>3171</td>\n",
       "      <td>3822</td>\n",
       "      <td>6</td>\n",
       "      <td>380.0</td>\n",
       "      <td>363.69348</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.968</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.968</td>\n",
       "      <td>0.990</td>\n",
       "      <td>0.982</td>\n",
       "      <td>0</td>\n",
       "      <td>-35.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267216</th>\n",
       "      <td>1267217</td>\n",
       "      <td>9.949880</td>\n",
       "      <td>49.873435</td>\n",
       "      <td>2061</td>\n",
       "      <td>2828</td>\n",
       "      <td>2046</td>\n",
       "      <td>2024</td>\n",
       "      <td>2828</td>\n",
       "      <td>2828</td>\n",
       "      <td>2024</td>\n",
       "      <td>2828</td>\n",
       "      <td>7</td>\n",
       "      <td>380.0</td>\n",
       "      <td>361.06812</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.967</td>\n",
       "      <td>0.988</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.967</td>\n",
       "      <td>0.993</td>\n",
       "      <td>0.983</td>\n",
       "      <td>0</td>\n",
       "      <td>-35.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267227</th>\n",
       "      <td>1267228</td>\n",
       "      <td>9.949958</td>\n",
       "      <td>49.127182</td>\n",
       "      <td>366</td>\n",
       "      <td>2307</td>\n",
       "      <td>1260</td>\n",
       "      <td>355</td>\n",
       "      <td>3531</td>\n",
       "      <td>2719</td>\n",
       "      <td>355</td>\n",
       "      <td>3531</td>\n",
       "      <td>6</td>\n",
       "      <td>500.0</td>\n",
       "      <td>493.52792</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.973</td>\n",
       "      <td>0.989</td>\n",
       "      <td>0.978</td>\n",
       "      <td>0.973</td>\n",
       "      <td>0.993</td>\n",
       "      <td>0.985</td>\n",
       "      <td>0</td>\n",
       "      <td>-36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267237</th>\n",
       "      <td>1267238</td>\n",
       "      <td>9.949999</td>\n",
       "      <td>49.936763</td>\n",
       "      <td>2513</td>\n",
       "      <td>2490</td>\n",
       "      <td>2490</td>\n",
       "      <td>2494</td>\n",
       "      <td>2490</td>\n",
       "      <td>2490</td>\n",
       "      <td>2490</td>\n",
       "      <td>2513</td>\n",
       "      <td>5</td>\n",
       "      <td>360.0</td>\n",
       "      <td>346.54227</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.968</td>\n",
       "      <td>0.988</td>\n",
       "      <td>0.974</td>\n",
       "      <td>0.968</td>\n",
       "      <td>0.993</td>\n",
       "      <td>0.983</td>\n",
       "      <td>0</td>\n",
       "      <td>-32.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>226892 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ID         X          Y  a1_95  a2_95  a3_95  a4_95  a5_95  \\\n",
       "7              8  6.050019  49.921613   3303   3288   3296   3236   3857   \n",
       "11            12  6.050039  47.995344   2762   2736   2740   2747   3893   \n",
       "14            15  6.050046  49.865317   1398   2505   2509   1316   2848   \n",
       "15            16  6.050048  49.050020    984    943    947    958   2617   \n",
       "16            17  6.050049  48.391359   3362   3332   3336   3351   4467   \n",
       "...          ...       ...        ...    ...    ...    ...    ...    ...   \n",
       "1267207  1267208  9.949829  49.216272   2160   2816   2816   2104   3299   \n",
       "1267211  1267212  9.949856  49.881190   3190   3179   3179   3171   3822   \n",
       "1267216  1267217  9.949880  49.873435   2061   2828   2046   2024   2828   \n",
       "1267227  1267228  9.949958  49.127182    366   2307   1260    355   3531   \n",
       "1267237  1267238  9.949999  49.936763   2513   2490   2490   2494   2490   \n",
       "\n",
       "         a6_95  min_rh_95  max_rh_95  BEAM  digital_elev   elev_low  qc_a1  \\\n",
       "7         3292       3236       3857     7         320.0  297.68533      1   \n",
       "11        2736       2736       3893     5         390.0  368.55121      1   \n",
       "14        2505       1316       2848     6         340.0  330.40564      1   \n",
       "15         947        943       2617     6         300.0  291.22598      1   \n",
       "16        3336       3332       4467     5         530.0  504.78122      1   \n",
       "...        ...        ...        ...   ...           ...        ...    ...   \n",
       "1267207   2816       2104       3299     8         420.0  386.44556      1   \n",
       "1267211   3179       3171       3822     6         380.0  363.69348      1   \n",
       "1267216   2828       2024       2828     7         380.0  361.06812      1   \n",
       "1267227   2719        355       3531     6         500.0  493.52792      1   \n",
       "1267237   2490       2490       2513     5         360.0  346.54227      1   \n",
       "\n",
       "         qc_a2  qc_a3  qc_a4  qc_a5  qc_a6  se_a1  se_a2  se_a3  se_a4  se_a5  \\\n",
       "7            1      1      1      1      1  0.971  0.988  0.976  0.971  0.992   \n",
       "11           1      1      1      1      1  0.975  0.990  0.979  0.975  0.994   \n",
       "14           1      1      1      1      1  0.973  0.990  0.979  0.973  0.994   \n",
       "15           1      1      1      1      1  0.978  0.991  0.982  0.978  0.995   \n",
       "16           1      1      1      1      1  0.973  0.988  0.977  0.973  0.992   \n",
       "...        ...    ...    ...    ...    ...    ...    ...    ...    ...    ...   \n",
       "1267207      1      1      1      1      1  0.980  0.993  0.984  0.980  0.995   \n",
       "1267211      1      1      1      1      1  0.968  0.986  0.974  0.968  0.990   \n",
       "1267216      1      1      1      1      1  0.967  0.988  0.974  0.967  0.993   \n",
       "1267227      1      1      1      1      1  0.973  0.989  0.978  0.973  0.993   \n",
       "1267237      1      1      1      1      1  0.968  0.988  0.974  0.968  0.993   \n",
       "\n",
       "         se_a6  deg_fg  solar_ele  \n",
       "7        0.984       0      -33.9  \n",
       "11       0.987       0      -37.3  \n",
       "14       0.986       0      -18.2  \n",
       "15       0.988       0      -35.4  \n",
       "16       0.984       0       -5.1  \n",
       "...        ...     ...        ...  \n",
       "1267207  0.989       0      -16.9  \n",
       "1267211  0.982       0      -35.1  \n",
       "1267216  0.983       0      -35.1  \n",
       "1267227  0.985       0      -36.0  \n",
       "1267237  0.983       0      -32.2  \n",
       "\n",
       "[226892 rows x 28 columns]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "height_6algorithms_sel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate the mean height excluidng the maximum and minimum values "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "height_sel =  pd.DataFrame({'ID' : height_6algorithms_sel['ID'] , \n",
    "                            'hm_sel': (height_6algorithms_sel['a1_95'] + height_6algorithms_sel['a2_95'] + height_6algorithms_sel['a3_95'] + height_6algorithms_sel['a4_95'] \n",
    "                             + height_6algorithms_sel['a5_95'] + height_6algorithms_sel['a6_95'] - height_6algorithms_sel['min_rh_95'] - height_6algorithms_sel['max_rh_95']) / 400 } )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>1267207</th>\n",
       "      <td>1267208</td>\n",
       "      <td>26.5200</td>\n",
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       "    <tr>\n",
       "      <th>1267211</th>\n",
       "      <td>1267212</td>\n",
       "      <td>31.8175</td>\n",
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       "    <tr>\n",
       "      <th>1267216</th>\n",
       "      <td>1267217</td>\n",
       "      <td>24.4075</td>\n",
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       "    <tr>\n",
       "      <th>1267227</th>\n",
       "      <td>1267228</td>\n",
       "      <td>16.6300</td>\n",
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       "    <tr>\n",
       "      <th>1267237</th>\n",
       "      <td>1267238</td>\n",
       "      <td>24.9100</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>226892 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ID   hm_sel\n",
       "7              8  32.9475\n",
       "11            12  27.4625\n",
       "14            15  22.2925\n",
       "15            16   9.5900\n",
       "16            17  33.4625\n",
       "...          ...      ...\n",
       "1267207  1267208  26.5200\n",
       "1267211  1267212  31.8175\n",
       "1267216  1267217  24.4075\n",
       "1267227  1267228  16.6300\n",
       "1267237  1267238  24.9100\n",
       "\n",
       "[226892 rows x 2 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "height_sel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Merge the new height with the predictors table, using the ID as Primary Key"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictors_hm_sel = pd.merge( predictors ,  height_sel , left_on='ID' ,  right_on='ID' ,  how='right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
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       "      <th>ID</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>h</th>\n",
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       "      <td>6.050019</td>\n",
       "      <td>49.921613</td>\n",
       "      <td>3294.75</td>\n",
       "      <td>1490</td>\n",
       "      <td>12</td>\n",
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       "      <td>5912</td>\n",
       "      <td>22.102139</td>\n",
       "      <td>-297770784</td>\n",
       "      <td>-1.402633</td>\n",
       "      <td>0.309765</td>\n",
       "      <td>294.927765</td>\n",
       "      <td>26</td>\n",
       "      <td>-86.729492</td>\n",
       "      <td>-145.584229</td>\n",
       "      <td>-190.062988</td>\n",
       "      <td>0.222435</td>\n",
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       "      <td>772784</td>\n",
       "      <td>20.855963</td>\n",
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       "      <td>86</td>\n",
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       "      <td>92.722168</td>\n",
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       "      <td>16</td>\n",
       "      <td>784807</td>\n",
       "      <td>20.798000</td>\n",
       "      <td>460.501221</td>\n",
       "      <td>97</td>\n",
       "      <td>27.4625</td>\n",
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       "      <th>2</th>\n",
       "      <td>15</td>\n",
       "      <td>6.050046</td>\n",
       "      <td>49.865317</td>\n",
       "      <td>2229.25</td>\n",
       "      <td>1517</td>\n",
       "      <td>13</td>\n",
       "      <td>2191</td>\n",
       "      <td>5901</td>\n",
       "      <td>31.054762</td>\n",
       "      <td>-186807440</td>\n",
       "      <td>-1.375050</td>\n",
       "      <td>-0.126880</td>\n",
       "      <td>291.412537</td>\n",
       "      <td>7</td>\n",
       "      <td>1028.385498</td>\n",
       "      <td>915.806396</td>\n",
       "      <td>841.586182</td>\n",
       "      <td>0.024677</td>\n",
       "      <td>16</td>\n",
       "      <td>766444</td>\n",
       "      <td>19.941267</td>\n",
       "      <td>454.185089</td>\n",
       "      <td>54</td>\n",
       "      <td>22.2925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16</td>\n",
       "      <td>6.050048</td>\n",
       "      <td>49.050020</td>\n",
       "      <td>959.00</td>\n",
       "      <td>1526</td>\n",
       "      <td>14</td>\n",
       "      <td>2081</td>\n",
       "      <td>6100</td>\n",
       "      <td>9.933455</td>\n",
       "      <td>-183562672</td>\n",
       "      <td>-0.382834</td>\n",
       "      <td>0.086874</td>\n",
       "      <td>246.288010</td>\n",
       "      <td>24</td>\n",
       "      <td>-12.283691</td>\n",
       "      <td>-58.179199</td>\n",
       "      <td>174.205566</td>\n",
       "      <td>0.094175</td>\n",
       "      <td>10</td>\n",
       "      <td>805730</td>\n",
       "      <td>19.849365</td>\n",
       "      <td>470.946533</td>\n",
       "      <td>78</td>\n",
       "      <td>9.5900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17</td>\n",
       "      <td>6.050049</td>\n",
       "      <td>48.391359</td>\n",
       "      <td>3346.25</td>\n",
       "      <td>1489</td>\n",
       "      <td>19</td>\n",
       "      <td>2486</td>\n",
       "      <td>5966</td>\n",
       "      <td>-6.957157</td>\n",
       "      <td>-273522688</td>\n",
       "      <td>2.989759</td>\n",
       "      <td>0.214769</td>\n",
       "      <td>474.409088</td>\n",
       "      <td>24</td>\n",
       "      <td>125.583008</td>\n",
       "      <td>6.154297</td>\n",
       "      <td>128.129150</td>\n",
       "      <td>0.017164</td>\n",
       "      <td>15</td>\n",
       "      <td>950190</td>\n",
       "      <td>21.179420</td>\n",
       "      <td>491.398376</td>\n",
       "      <td>85</td>\n",
       "      <td>33.4625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>19</td>\n",
       "      <td>6.050053</td>\n",
       "      <td>49.877876</td>\n",
       "      <td>529.00</td>\n",
       "      <td>1531</td>\n",
       "      <td>12</td>\n",
       "      <td>2184</td>\n",
       "      <td>5915</td>\n",
       "      <td>-24.278454</td>\n",
       "      <td>-377335296</td>\n",
       "      <td>0.265329</td>\n",
       "      <td>-0.248356</td>\n",
       "      <td>335.534760</td>\n",
       "      <td>25</td>\n",
       "      <td>593.601074</td>\n",
       "      <td>228.712402</td>\n",
       "      <td>315.298340</td>\n",
       "      <td>-0.127365</td>\n",
       "      <td>17</td>\n",
       "      <td>764713</td>\n",
       "      <td>19.760756</td>\n",
       "      <td>448.580811</td>\n",
       "      <td>96</td>\n",
       "      <td>5.2900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID         X          Y        h  BLDFIE_WeigAver  CECSOL_WeigAver  \\\n",
       "0   8  6.050019  49.921613  3294.75             1490               12   \n",
       "1  12  6.050039  47.995344  2746.25             1523               12   \n",
       "2  15  6.050046  49.865317  2229.25             1517               13   \n",
       "3  16  6.050048  49.050020   959.00             1526               14   \n",
       "4  17  6.050049  48.391359  3346.25             1489               19   \n",
       "5  19  6.050053  49.877876   529.00             1531               12   \n",
       "\n",
       "   CHELSA_bio18  CHELSA_bio4  convergence        cti  devmagnitude  eastness  \\\n",
       "0          1995         5912    22.102139 -297770784     -1.402633  0.309765   \n",
       "1          2612         6181     3.549103  -71279992      0.507727 -0.021408   \n",
       "2          2191         5901    31.054762 -186807440     -1.375050 -0.126880   \n",
       "3          2081         6100     9.933455 -183562672     -0.382834  0.086874   \n",
       "4          2486         5966    -6.957157 -273522688      2.989759  0.214769   \n",
       "5          2184         5915   -24.278454 -377335296      0.265329 -0.248356   \n",
       "\n",
       "         elev  forestheight  glad_ard_SVVI_max  glad_ard_SVVI_med  \\\n",
       "0  294.927765            26         -86.729492        -145.584229   \n",
       "1  322.920227            26         660.006104          92.722168   \n",
       "2  291.412537             7        1028.385498         915.806396   \n",
       "3  246.288010            24         -12.283691         -58.179199   \n",
       "4  474.409088            24         125.583008           6.154297   \n",
       "5  335.534760            25         593.601074         228.712402   \n",
       "\n",
       "   glad_ard_SVVI_min  northness  ORCDRC_WeigAver  outlet_dist_dw_basin  \\\n",
       "0        -190.062988   0.222435               15                772784   \n",
       "1         190.979736  -0.034787               16                784807   \n",
       "2         841.586182   0.024677               16                766444   \n",
       "3         174.205566   0.094175               10                805730   \n",
       "4         128.129150   0.017164               15                950190   \n",
       "5         315.298340  -0.127365               17                764713   \n",
       "\n",
       "   SBIO3_Isothermality_5_15cm  SBIO4_Temperature_Seasonality_5_15cm  \\\n",
       "0                   20.855963                            457.195404   \n",
       "1                   20.798000                            460.501221   \n",
       "2                   19.941267                            454.185089   \n",
       "3                   19.849365                            470.946533   \n",
       "4                   21.179420                            491.398376   \n",
       "5                   19.760756                            448.580811   \n",
       "\n",
       "   treecover   hm_sel  \n",
       "0         86  32.9475  \n",
       "1         97  27.4625  \n",
       "2         54  22.2925  \n",
       "3         78   9.5900  \n",
       "4         85  33.4625  \n",
       "5         96   5.2900  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictors_hm_sel.head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictors_hm_sel = predictors_hm_sel.loc[(predictors['h'] < 7000) ].sample(100000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>h</th>\n",
       "      <th>BLDFIE_WeigAver</th>\n",
       "      <th>CECSOL_WeigAver</th>\n",
       "      <th>CHELSA_bio18</th>\n",
       "      <th>CHELSA_bio4</th>\n",
       "      <th>convergence</th>\n",
       "      <th>cti</th>\n",
       "      <th>devmagnitude</th>\n",
       "      <th>eastness</th>\n",
       "      <th>elev</th>\n",
       "      <th>forestheight</th>\n",
       "      <th>glad_ard_SVVI_max</th>\n",
       "      <th>glad_ard_SVVI_med</th>\n",
       "      <th>glad_ard_SVVI_min</th>\n",
       "      <th>northness</th>\n",
       "      <th>ORCDRC_WeigAver</th>\n",
       "      <th>outlet_dist_dw_basin</th>\n",
       "      <th>SBIO3_Isothermality_5_15cm</th>\n",
       "      <th>SBIO4_Temperature_Seasonality_5_15cm</th>\n",
       "      <th>treecover</th>\n",
       "      <th>hm_sel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>67109</th>\n",
       "      <td>358075</td>\n",
       "      <td>7.121301</td>\n",
       "      <td>48.393362</td>\n",
       "      <td>3127.00</td>\n",
       "      <td>1390</td>\n",
       "      <td>14</td>\n",
       "      <td>3278</td>\n",
       "      <td>6149</td>\n",
       "      <td>-18.622808</td>\n",
       "      <td>-349385216</td>\n",
       "      <td>1.205495</td>\n",
       "      <td>0.221449</td>\n",
       "      <td>628.071411</td>\n",
       "      <td>28</td>\n",
       "      <td>16.379883</td>\n",
       "      <td>-1.361572</td>\n",
       "      <td>-254.569824</td>\n",
       "      <td>0.122928</td>\n",
       "      <td>30</td>\n",
       "      <td>870714</td>\n",
       "      <td>21.026922</td>\n",
       "      <td>455.862976</td>\n",
       "      <td>89</td>\n",
       "      <td>31.2700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49443</th>\n",
       "      <td>271106</td>\n",
       "      <td>6.915753</td>\n",
       "      <td>48.398865</td>\n",
       "      <td>2755.00</td>\n",
       "      <td>1403</td>\n",
       "      <td>16</td>\n",
       "      <td>2880</td>\n",
       "      <td>6227</td>\n",
       "      <td>-10.780100</td>\n",
       "      <td>-364243424</td>\n",
       "      <td>0.597950</td>\n",
       "      <td>0.212738</td>\n",
       "      <td>479.239380</td>\n",
       "      <td>28</td>\n",
       "      <td>94.056396</td>\n",
       "      <td>13.479736</td>\n",
       "      <td>-101.955322</td>\n",
       "      <td>0.052124</td>\n",
       "      <td>26</td>\n",
       "      <td>956659</td>\n",
       "      <td>20.500694</td>\n",
       "      <td>460.670288</td>\n",
       "      <td>85</td>\n",
       "      <td>27.5500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225998</th>\n",
       "      <td>1262978</td>\n",
       "      <td>9.924864</td>\n",
       "      <td>49.878408</td>\n",
       "      <td>2404.25</td>\n",
       "      <td>1497</td>\n",
       "      <td>14</td>\n",
       "      <td>2044</td>\n",
       "      <td>6528</td>\n",
       "      <td>-5.170033</td>\n",
       "      <td>-260566736</td>\n",
       "      <td>1.070872</td>\n",
       "      <td>-0.060704</td>\n",
       "      <td>322.041046</td>\n",
       "      <td>20</td>\n",
       "      <td>256.728516</td>\n",
       "      <td>15.479248</td>\n",
       "      <td>-28.410645</td>\n",
       "      <td>0.124602</td>\n",
       "      <td>8</td>\n",
       "      <td>855708</td>\n",
       "      <td>19.397581</td>\n",
       "      <td>507.361115</td>\n",
       "      <td>78</td>\n",
       "      <td>24.0425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46927</th>\n",
       "      <td>257606</td>\n",
       "      <td>6.880155</td>\n",
       "      <td>49.368619</td>\n",
       "      <td>2322.00</td>\n",
       "      <td>1514</td>\n",
       "      <td>15</td>\n",
       "      <td>2292</td>\n",
       "      <td>6233</td>\n",
       "      <td>11.174547</td>\n",
       "      <td>-242390336</td>\n",
       "      <td>-0.602614</td>\n",
       "      <td>-0.084595</td>\n",
       "      <td>268.367157</td>\n",
       "      <td>20</td>\n",
       "      <td>236.149902</td>\n",
       "      <td>236.915039</td>\n",
       "      <td>371.205322</td>\n",
       "      <td>-0.050283</td>\n",
       "      <td>11</td>\n",
       "      <td>769062</td>\n",
       "      <td>21.441999</td>\n",
       "      <td>496.682587</td>\n",
       "      <td>58</td>\n",
       "      <td>23.2200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27199</th>\n",
       "      <td>146987</td>\n",
       "      <td>6.582437</td>\n",
       "      <td>49.476879</td>\n",
       "      <td>2464.25</td>\n",
       "      <td>1521</td>\n",
       "      <td>14</td>\n",
       "      <td>2117</td>\n",
       "      <td>6219</td>\n",
       "      <td>-6.374312</td>\n",
       "      <td>-234200800</td>\n",
       "      <td>-1.728040</td>\n",
       "      <td>0.231585</td>\n",
       "      <td>182.034286</td>\n",
       "      <td>23</td>\n",
       "      <td>73.248047</td>\n",
       "      <td>19.785400</td>\n",
       "      <td>249.853027</td>\n",
       "      <td>0.019138</td>\n",
       "      <td>11</td>\n",
       "      <td>731353</td>\n",
       "      <td>20.218201</td>\n",
       "      <td>483.040649</td>\n",
       "      <td>93</td>\n",
       "      <td>24.6425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25984</th>\n",
       "      <td>139170</td>\n",
       "      <td>6.551567</td>\n",
       "      <td>49.175072</td>\n",
       "      <td>2125.00</td>\n",
       "      <td>1511</td>\n",
       "      <td>17</td>\n",
       "      <td>2252</td>\n",
       "      <td>6015</td>\n",
       "      <td>-14.249553</td>\n",
       "      <td>-248558160</td>\n",
       "      <td>2.698703</td>\n",
       "      <td>-0.056752</td>\n",
       "      <td>371.123718</td>\n",
       "      <td>25</td>\n",
       "      <td>141.861816</td>\n",
       "      <td>2.110840</td>\n",
       "      <td>86.527588</td>\n",
       "      <td>0.024905</td>\n",
       "      <td>12</td>\n",
       "      <td>800114</td>\n",
       "      <td>20.031235</td>\n",
       "      <td>479.971527</td>\n",
       "      <td>85</td>\n",
       "      <td>21.2500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46950</th>\n",
       "      <td>257777</td>\n",
       "      <td>6.880572</td>\n",
       "      <td>49.535945</td>\n",
       "      <td>231.00</td>\n",
       "      <td>1519</td>\n",
       "      <td>14</td>\n",
       "      <td>2161</td>\n",
       "      <td>6189</td>\n",
       "      <td>32.561085</td>\n",
       "      <td>89643480</td>\n",
       "      <td>-1.137112</td>\n",
       "      <td>-0.001126</td>\n",
       "      <td>286.474335</td>\n",
       "      <td>0</td>\n",
       "      <td>937.622314</td>\n",
       "      <td>743.368652</td>\n",
       "      <td>405.727051</td>\n",
       "      <td>-0.008619</td>\n",
       "      <td>10</td>\n",
       "      <td>787605</td>\n",
       "      <td>21.355637</td>\n",
       "      <td>486.371185</td>\n",
       "      <td>4</td>\n",
       "      <td>2.3100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160836</th>\n",
       "      <td>912341</td>\n",
       "      <td>8.879877</td>\n",
       "      <td>48.959728</td>\n",
       "      <td>1810.50</td>\n",
       "      <td>1518</td>\n",
       "      <td>15</td>\n",
       "      <td>2200</td>\n",
       "      <td>6501</td>\n",
       "      <td>-45.779213</td>\n",
       "      <td>-249658704</td>\n",
       "      <td>0.581574</td>\n",
       "      <td>0.009894</td>\n",
       "      <td>277.630981</td>\n",
       "      <td>23</td>\n",
       "      <td>321.381836</td>\n",
       "      <td>71.376465</td>\n",
       "      <td>304.113281</td>\n",
       "      <td>-0.130948</td>\n",
       "      <td>15</td>\n",
       "      <td>832408</td>\n",
       "      <td>18.087175</td>\n",
       "      <td>476.243561</td>\n",
       "      <td>99</td>\n",
       "      <td>18.1050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100900</th>\n",
       "      <td>558839</td>\n",
       "      <td>7.634858</td>\n",
       "      <td>49.360323</td>\n",
       "      <td>2422.75</td>\n",
       "      <td>1533</td>\n",
       "      <td>11</td>\n",
       "      <td>2377</td>\n",
       "      <td>6304</td>\n",
       "      <td>-23.222776</td>\n",
       "      <td>-286424256</td>\n",
       "      <td>0.680885</td>\n",
       "      <td>0.017598</td>\n",
       "      <td>367.074890</td>\n",
       "      <td>25</td>\n",
       "      <td>-84.395996</td>\n",
       "      <td>-98.640869</td>\n",
       "      <td>22.901367</td>\n",
       "      <td>-0.179092</td>\n",
       "      <td>10</td>\n",
       "      <td>895793</td>\n",
       "      <td>18.074240</td>\n",
       "      <td>468.273102</td>\n",
       "      <td>80</td>\n",
       "      <td>24.2275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67155</th>\n",
       "      <td>358294</td>\n",
       "      <td>7.121821</td>\n",
       "      <td>49.908679</td>\n",
       "      <td>3338.00</td>\n",
       "      <td>1535</td>\n",
       "      <td>11</td>\n",
       "      <td>1946</td>\n",
       "      <td>6144</td>\n",
       "      <td>-16.786621</td>\n",
       "      <td>-319256448</td>\n",
       "      <td>0.482177</td>\n",
       "      <td>0.128489</td>\n",
       "      <td>345.215790</td>\n",
       "      <td>26</td>\n",
       "      <td>-161.289062</td>\n",
       "      <td>-201.367188</td>\n",
       "      <td>-307.723389</td>\n",
       "      <td>-0.012693</td>\n",
       "      <td>6</td>\n",
       "      <td>591350</td>\n",
       "      <td>18.666250</td>\n",
       "      <td>450.020935</td>\n",
       "      <td>87</td>\n",
       "      <td>33.3800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100000 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             ID         X          Y        h  BLDFIE_WeigAver  \\\n",
       "67109    358075  7.121301  48.393362  3127.00             1390   \n",
       "49443    271106  6.915753  48.398865  2755.00             1403   \n",
       "225998  1262978  9.924864  49.878408  2404.25             1497   \n",
       "46927    257606  6.880155  49.368619  2322.00             1514   \n",
       "27199    146987  6.582437  49.476879  2464.25             1521   \n",
       "...         ...       ...        ...      ...              ...   \n",
       "25984    139170  6.551567  49.175072  2125.00             1511   \n",
       "46950    257777  6.880572  49.535945   231.00             1519   \n",
       "160836   912341  8.879877  48.959728  1810.50             1518   \n",
       "100900   558839  7.634858  49.360323  2422.75             1533   \n",
       "67155    358294  7.121821  49.908679  3338.00             1535   \n",
       "\n",
       "        CECSOL_WeigAver  CHELSA_bio18  CHELSA_bio4  convergence        cti  \\\n",
       "67109                14          3278         6149   -18.622808 -349385216   \n",
       "49443                16          2880         6227   -10.780100 -364243424   \n",
       "225998               14          2044         6528    -5.170033 -260566736   \n",
       "46927                15          2292         6233    11.174547 -242390336   \n",
       "27199                14          2117         6219    -6.374312 -234200800   \n",
       "...                 ...           ...          ...          ...        ...   \n",
       "25984                17          2252         6015   -14.249553 -248558160   \n",
       "46950                14          2161         6189    32.561085   89643480   \n",
       "160836               15          2200         6501   -45.779213 -249658704   \n",
       "100900               11          2377         6304   -23.222776 -286424256   \n",
       "67155                11          1946         6144   -16.786621 -319256448   \n",
       "\n",
       "        devmagnitude  eastness        elev  forestheight  glad_ard_SVVI_max  \\\n",
       "67109       1.205495  0.221449  628.071411            28          16.379883   \n",
       "49443       0.597950  0.212738  479.239380            28          94.056396   \n",
       "225998      1.070872 -0.060704  322.041046            20         256.728516   \n",
       "46927      -0.602614 -0.084595  268.367157            20         236.149902   \n",
       "27199      -1.728040  0.231585  182.034286            23          73.248047   \n",
       "...              ...       ...         ...           ...                ...   \n",
       "25984       2.698703 -0.056752  371.123718            25         141.861816   \n",
       "46950      -1.137112 -0.001126  286.474335             0         937.622314   \n",
       "160836      0.581574  0.009894  277.630981            23         321.381836   \n",
       "100900      0.680885  0.017598  367.074890            25         -84.395996   \n",
       "67155       0.482177  0.128489  345.215790            26        -161.289062   \n",
       "\n",
       "        glad_ard_SVVI_med  glad_ard_SVVI_min  northness  ORCDRC_WeigAver  \\\n",
       "67109           -1.361572        -254.569824   0.122928               30   \n",
       "49443           13.479736        -101.955322   0.052124               26   \n",
       "225998          15.479248         -28.410645   0.124602                8   \n",
       "46927          236.915039         371.205322  -0.050283               11   \n",
       "27199           19.785400         249.853027   0.019138               11   \n",
       "...                   ...                ...        ...              ...   \n",
       "25984            2.110840          86.527588   0.024905               12   \n",
       "46950          743.368652         405.727051  -0.008619               10   \n",
       "160836          71.376465         304.113281  -0.130948               15   \n",
       "100900         -98.640869          22.901367  -0.179092               10   \n",
       "67155         -201.367188        -307.723389  -0.012693                6   \n",
       "\n",
       "        outlet_dist_dw_basin  SBIO3_Isothermality_5_15cm  \\\n",
       "67109                 870714                   21.026922   \n",
       "49443                 956659                   20.500694   \n",
       "225998                855708                   19.397581   \n",
       "46927                 769062                   21.441999   \n",
       "27199                 731353                   20.218201   \n",
       "...                      ...                         ...   \n",
       "25984                 800114                   20.031235   \n",
       "46950                 787605                   21.355637   \n",
       "160836                832408                   18.087175   \n",
       "100900                895793                   18.074240   \n",
       "67155                 591350                   18.666250   \n",
       "\n",
       "        SBIO4_Temperature_Seasonality_5_15cm  treecover   hm_sel  \n",
       "67109                             455.862976         89  31.2700  \n",
       "49443                             460.670288         85  27.5500  \n",
       "225998                            507.361115         78  24.0425  \n",
       "46927                             496.682587         58  23.2200  \n",
       "27199                             483.040649         93  24.6425  \n",
       "...                                      ...        ...      ...  \n",
       "25984                             479.971527         85  21.2500  \n",
       "46950                             486.371185          4   2.3100  \n",
       "160836                            476.243561         99  18.1050  \n",
       "100900                            468.273102         80  24.2275  \n",
       "67155                             450.020935         87  33.3800  \n",
       "\n",
       "[100000 rows x 24 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictors_hm_sel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = predictors_hm_sel.iloc[:,[4,5,6,7,8,9,10,11,12,14,15,16,17,18,19,20,21,22]].values\n",
    "Y = predictors_hm_sel.iloc[:,23:24].values\n",
    "feat = predictors_hm_sel.iloc[:,[4,5,6,7,8,9,10,11,12,14,15,16,17,18,19,20,21,22]].columns.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['BLDFIE_WeigAver', 'CECSOL_WeigAver', 'CHELSA_bio18',\n",
       "       'CHELSA_bio4', 'convergence', 'cti', 'devmagnitude', 'eastness',\n",
       "       'elev', 'glad_ard_SVVI_max', 'glad_ard_SVVI_med',\n",
       "       'glad_ard_SVVI_min', 'northness', 'ORCDRC_WeigAver',\n",
       "       'outlet_dist_dw_basin', 'SBIO3_Isothermality_5_15cm',\n",
       "       'SBIO4_Temperature_Seasonality_5_15cm', 'treecover'], dtype=object)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RESPONSE VARIABLE DIMENSION: (100000, 1)\n"
     ]
    }
   ],
   "source": [
    "print(\"RESPONSE VARIABLE DIMENSION:\", Y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PREDICTING FEATURES DIMENSION: (100000, 18)\n"
     ]
    }
   ],
   "source": [
    "print(\"PREDICTING FEATURES DIMENSION:\", X.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.5, random_state=24)\n",
    "y_train = np.ravel(Y_train)\n",
    "y_test = np.ravel(Y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model run using default parameters and wuality flag selected data\n",
    "\n",
    "Training Random Forest using default parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "rfReg = RandomForestRegressor(min_samples_leaf=20, oob_score=True)\n",
    "rfReg.fit(X_train, y_train);\n",
    "dic_pred = {}\n",
    "dic_pred['train'] = rfReg.predict(X_train)\n",
    "dic_pred['test'] = rfReg.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OUT OF BAG SCORE: 0.37252902906812235\n"
     ]
    }
   ],
   "source": [
    "# checking the oob score\n",
    "print(\"OUT OF BAG SCORE:\", rfReg.oob_score_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PEARSON CORRELATION COEFFINCENT: [0.746007848830619, 0.6125852590365624]\n"
     ]
    }
   ],
   "source": [
    "pearsonr_all_sel = [pearsonr(dic_pred['train'],y_train)[0],pearsonr(dic_pred['test'],y_test)[0]]\n",
    "print(\"PEARSON CORRELATION COEFFINCENT:\", pearsonr_all_sel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x712ff41c05c0>]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (8,6)\n",
    "plt.scatter(y_train,dic_pred['train'])\n",
    "plt.xlabel('Training GEDI Height (all dataset)\\n (m)')\n",
    "plt.ylabel('Training Tree Height prediction\\n (m)')\n",
    "ident = [0, 50]\n",
    "plt.plot(ident,ident,'r--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x712ff3e5f7d0>]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (8,6)\n",
    "plt.scatter(y_test,dic_pred['test'])\n",
    "plt.xlabel('Testing GEDI Height (all dataset)\\n (m)')\n",
    "plt.ylabel('Testing Tree Height prediction\\n (m)')\n",
    "ident = [0, 50]\n",
    "plt.plot(ident,ident,'r--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "impt = [rfReg.feature_importances_, np.std([tree.feature_importances_ for tree in rfReg.estimators_],axis=1)] \n",
    "ind = np.argsort(impt[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1, 13,  0,  4, 16,  6,  8, 15,  5,  2, 11,  3, 12,  9, 14,  7, 10,\n",
       "       17])"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ind"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (6,10)\n",
    "plt.barh(range(len(feat)),impt[0][ind],color=\"b\", xerr=impt[1][ind], align=\"center\")\n",
    "plt.yticks(range(len(feat)),feat[ind]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Model Final Assesment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "we can do a comparison between published model performance and ours.\n",
    "\n",
    "**Global Forest Canopy Height, 2019**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PEARSON CORRELATION INDEX: 0.4527925130004339\n"
     ]
    }
   ],
   "source": [
    "print(\"PEARSON CORRELATION INDEX:\", pearsonr_Publication_Estimation)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Random Forest Model [100k GEDI subset] [fine tuning=NO] [data selection=NO]**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PEARSON CORRELATION COEFFINCENT: [0.6035710046325166, 0.506707480767017]\n"
     ]
    }
   ],
   "source": [
    "print(\"PEARSON CORRELATION COEFFINCENT:\", pearsonr_all)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Random Forest Model [100k GEDI subset] [fine tuning=NO] [data selection=YES]**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PEARSON CORRELATION COEFFINCENT: [0.746007848830619, 0.6125852590365624]\n"
     ]
    }
   ],
   "source": [
    "print(\"PEARSON CORRELATION COEFFINCENT:\", pearsonr_all_sel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "If we want to improve even more the selected data model, we can perform again a GridSearch hyperparameter fine tuning\n",
    "\n",
    "    pipeline = Pipeline([('rf',RandomForestRegressor())])\n",
    "    \n",
    "    parameters = {\n",
    "        'rf__max_features':(\"log2\",\"sqrt\",0.33),\n",
    "        'rf__max_samples':(0.5,0.6,0.7),\n",
    "        'rf__n_estimators':(500,1000),\n",
    "        'rf__max_depth':(50,100,200)}\n",
    "    grid_search = GridSearchCV(pipeline,parameters,n_jobs=-1,cv=3,scoring='r2',verbose=1)\n",
    "    grid_search.fit(X_train,y_train)\n",
    "\n",
    "    grid_search.best_score_\n",
    "\n",
    "    print ('Best Training score: %0.3f' % grid_search.best_score_)\n",
    "    print ('Optimal parameters:')\n",
    "    best_par = grid_search.best_estimator_.get_params()\n",
    "    for par_name in sorted(parameters.keys()):\n",
    "        print ('\\t%s: %r' % (par_name, best_par[par_name]))\n",
    "\n",
    "    rfReg = RandomForestRegressor(n_estimators=500,max_features='sqrt',max_depth=50,max_samples=0.6,n_jobs=-1,random_state=24)\n",
    "    rfReg.fit(X_train, y_train);\n",
    "    dic_pred = {}\n",
    "    dic_pred['train'] = rfReg.predict(X_train)\n",
    "    dic_pred['test'] = rfReg.predict(X_test)\n",
    "    [pearsonr(dic_pred['train'],y_train)[0],pearsonr(dic_pred['test'],y_test)[0]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Prediction on Raster"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predict on the raster using pyspatialml (deprecated library)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    # import Global Landsat Analysis Ready Data\n",
    "    glad_ard_SVVI_min = \"tree_height/geodata_raster/glad_ard_SVVI_min.tif\"\n",
    "    glad_ard_SVVI_med = \"tree_height/geodata_raster/glad_ard_SVVI_med.tif\"\n",
    "    glad_ard_SVVI_max = \"tree_height/geodata_raster/glad_ard_SVVI_max.tif\"\n",
    "    \n",
    "    # import climate data\n",
    "    CHELSA_bio4 = \"tree_height/geodata_raster/CHELSA_bio4.tif\"\n",
    "    CHELSA_bio18 = \"tree_height/geodata_raster/CHELSA_bio18.tif\"\n",
    "    \n",
    "    # import soil data\n",
    "    BLDFIE_WeigAver = \"tree_height/geodata_raster/BLDFIE_WeigAver.tif\"\n",
    "    CECSOL_WeigAver = \"tree_height/geodata_raster/CECSOL_WeigAver.tif\"\n",
    "    ORCDRC_WeigAver = \"tree_height/geodata_raster/ORCDRC_WeigAver.tif\"\n",
    "    \n",
    "    # import geomorphological data (DEM derived)\n",
    "    elev = \"tree_height/geodata_raster/elev.tif\"\n",
    "    convergence = \"tree_height/geodata_raster/convergence.tif\"\n",
    "    northness = \"tree_height/geodata_raster/northness.tif\"\n",
    "    eastness = \"tree_height/geodata_raster/eastness.tif\"\n",
    "    devmagnitude = \"tree_height/geodata_raster/dev-magnitude.tif\"\n",
    "    \n",
    "    # import hydrographic data (from hydrography90m)\n",
    "    cti = \"tree_height/geodata_raster/cti.tif\"\n",
    "    outlet_dist_dw_basin = \"tree_height/geodata_raster/outlet_dist_dw_basin.tif\"\n",
    "    \n",
    "    # import soil climate data\n",
    "    \n",
    "    SBIO3_Isothermality_5_15cm = \"tree_height/geodata_raster/SBIO3_Isothermality_5_15cm.tif\"\n",
    "    SBIO4_Temperature_Seasonality_5_15cm = \"tree_height/geodata_raster/SBIO4_Temperature_Seasonality_5_15cm.tif\"\n",
    "    \n",
    "    # import forest cover data\n",
    "    \n",
    "    treecover = \"tree_height/geodata_raster/treecover.tif\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    from pyspatialml import Raster\n",
    "    predictors_rasters = [glad_ard_SVVI_min, glad_ard_SVVI_med, glad_ard_SVVI_max,\n",
    "                          CHELSA_bio4,CHELSA_bio18,\n",
    "                          BLDFIE_WeigAver,CECSOL_WeigAver,ORCDRC_WeigAver,\n",
    "                          elev,convergence,northness,eastness,devmagnitude,cti,outlet_dist_dw_basin,\n",
    "                          SBIO3_Isothermality_5_15cm,SBIO4_Temperature_Seasonality_5_15cm,treecover]\n",
    "    \n",
    "    stack = Raster(predictors_rasters)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    result = stack.predict(estimator=rfReg, dtype='int16', nodata=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot regression result\n",
    "plt.rcParams[\"figure.figsize\"] = (12,12)\n",
    "result.iloc[0].cmap = \"plasma\"\n",
    "result.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predict on the raster using xarray and rasterio (Full size 90m res raster prediction >12h)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    import xarray as xr\n",
    "    import rasterio\n",
    "    import numpy as np\n",
    "    import pandas as pd\n",
    "    from sklearn.ensemble import RandomForestRegressor\n",
    "    import os\n",
    "    \n",
    "    # Define paths to raster files\n",
    "    raster_paths = {\n",
    "        'glad_ard_SVVI_min': \"tree_height/geodata_raster/glad_ard_SVVI_min.tif\",\n",
    "        'glad_ard_SVVI_med': \"tree_height/geodata_raster/glad_ard_SVVI_med.tif\",\n",
    "        'glad_ard_SVVI_max': \"tree_height/geodata_raster/glad_ard_SVVI_max.tif\",\n",
    "        'CHELSA_bio4': \"tree_height/geodata_raster/CHELSA_bio4.tif\",\n",
    "        'CHELSA_bio18': \"tree_height/geodata_raster/CHELSA_bio18.tif\",\n",
    "        'BLDFIE_WeigAver': \"tree_height/geodata_raster/BLDFIE_WeigAver.tif\",\n",
    "        'CECSOL_WeigAver': \"tree_height/geodata_raster/CECSOL_WeigAver.tif\",\n",
    "        'ORCDRC_WeigAver': \"tree_height/geodata_raster/ORCDRC_WeigAver.tif\",\n",
    "        'elev': \"tree_height/geodata_raster/elev.tif\",\n",
    "        'convergence': \"tree_height/geodata_raster/convergence.tif\",\n",
    "        'northness': \"tree_height/geodata_raster/northness.tif\",\n",
    "        'eastness': \"tree_height/geodata_raster/eastness.tif\",\n",
    "        'devmagnitude': \"tree_height/geodata_raster/dev-magnitude.tif\",\n",
    "        'cti': \"tree_height/geodata_raster/cti.tif\",\n",
    "        'outlet_dist_dw_basin': \"tree_height/geodata_raster/outlet_dist_dw_basin.tif\",\n",
    "        'SBIO3_Isothermality_5_15cm': \"tree_height/geodata_raster/SBIO3_Isothermality_5_15cm.tif\",\n",
    "        'SBIO4_Temperature_Seasonality_5_15cm': \"tree_height/geodata_raster/SBIO4_Temperature_Seasonality_5_15cm.tif\",\n",
    "        'treecover': \"tree_height/geodata_raster/treecover.tif\"\n",
    "    }\n",
    "    \n",
    "    # Load raster files into an xarray Dataset\n",
    "    raster_datasets = []\n",
    "    for name, path in raster_paths.items():\n",
    "        with rasterio.open(path) as src:\n",
    "            # Read raster data and convert to xarray DataArray\n",
    "            data = src.read(1)  # Read the first band\n",
    "            coords = {\n",
    "                'y': np.linspace(src.bounds.top, src.bounds.bottom, src.height),\n",
    "                'x': np.linspace(src.bounds.left, src.bounds.right, src.width)\n",
    "            }\n",
    "            da = xr.DataArray(data, coords=coords, dims=['y', 'x'], name=name)\n",
    "            raster_datasets.append(da)\n",
    "    \n",
    "    # Combine all DataArrays into a single Dataset\n",
    "    stack = xr.merge(raster_datasets)\n",
    "    \n",
    "    # Prepare data for prediction\n",
    "    # Convert the stack to a 2D array where each row is a pixel and columns are features\n",
    "    feature_names = list(raster_paths.keys())\n",
    "    data_array = stack.to_array(dim='variable').transpose('y', 'x', 'variable')\n",
    "    data_2d = data_array.values.reshape(-1, len(feature_names))\n",
    "    \n",
    "    # Create a mask for valid data (exclude pixels where any predictor is NaN)\n",
    "    valid_mask = ~np.any(np.isnan(data_2d), axis=1)\n",
    "    valid_data = data_2d[valid_mask]\n",
    "    \n",
    "    # Predict tree heights for valid pixels using the trained RandomForestRegressor (rfReg)\n",
    "    predictions = np.full(data_2d.shape[0], -1, dtype=np.int16)  # Initialize with nodata value\n",
    "    predictions[valid_mask] = rfReg.predict(valid_data)\n",
    "    \n",
    "    # Reshape predictions back to the original raster shape\n",
    "    pred_2d = predictions.reshape(data_array.shape[0], data_array.shape[1])\n",
    "    \n",
    "    # Save the prediction as a new raster file\n",
    "    output_path = \"tree_height/geodata_raster/predicted_tree_height.tif\"\n",
    "    with rasterio.open(\n",
    "        list(raster_paths.values())[0],  # Use the first raster as a template for metadata\n",
    "    ) as src:\n",
    "        profile = src.profile\n",
    "        profile.update(dtype=rasterio.int16, nodata=-1)\n",
    "    \n",
    "    with rasterio.open(output_path, 'w', **profile) as dst:\n",
    "        dst.write(pred_2d, 1)\n",
    "    \n",
    "    # Plot the result using xarray\n",
    "    ds_pred = xr.DataArray(pred_2d, coords={'y': stack.y, 'x': stack.x}, dims=['y', 'x'], name='predicted_height')\n",
    "    ds_pred.plot(cmap='plasma', figsize=(12, 12))\n",
    "    plt.title(\"Predicted Tree Height\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predict on the raster using xarray and rasterio (1000x1000 UL corner tile for 90m res raster prediction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define paths to raster files\n",
    "raster_paths = {\n",
    "    # import Global Landsat Analysis Ready Data\n",
    "    'glad_ard_SVVI_min': \"tree_height/geodata_raster/glad_ard_SVVI_min.tif\", \n",
    "    'glad_ard_SVVI_med': \"tree_height/geodata_raster/glad_ard_SVVI_med.tif\",\n",
    "    'glad_ard_SVVI_max': \"tree_height/geodata_raster/glad_ard_SVVI_max.tif\",\n",
    "    # import climate data\n",
    "    'CHELSA_bio4': \"tree_height/geodata_raster/CHELSA_bio4.tif\",\n",
    "    'CHELSA_bio18': \"tree_height/geodata_raster/CHELSA_bio18.tif\",\n",
    "    # import soil data\n",
    "    'BLDFIE_WeigAver': \"tree_height/geodata_raster/BLDFIE_WeigAver.tif\",\n",
    "    'CECSOL_WeigAver': \"tree_height/geodata_raster/CECSOL_WeigAver.tif\",\n",
    "    'ORCDRC_WeigAver': \"tree_height/geodata_raster/ORCDRC_WeigAver.tif\",\n",
    "    # import geomorphological data (DEM derived)\n",
    "    'elev': \"tree_height/geodata_raster/elev.tif\",\n",
    "    'convergence': \"tree_height/geodata_raster/convergence.tif\",\n",
    "    'northness': \"tree_height/geodata_raster/northness.tif\",\n",
    "    'eastness': \"tree_height/geodata_raster/eastness.tif\",\n",
    "    'devmagnitude': \"tree_height/geodata_raster/dev-magnitude.tif\",\n",
    "    # import hydrographic data (from hydrography90m)\n",
    "    'cti': \"tree_height/geodata_raster/cti.tif\",\n",
    "    'outlet_dist_dw_basin': \"tree_height/geodata_raster/outlet_dist_dw_basin.tif\",\n",
    "    # import soil climate data\n",
    "    'SBIO3_Isothermality_5_15cm': \"tree_height/geodata_raster/SBIO3_Isothermality_5_15cm.tif\",\n",
    "    'SBIO4_Temperature_Seasonality_5_15cm': \"tree_height/geodata_raster/SBIO4_Temperature_Seasonality_5_15cm.tif\",\n",
    "    # import forest cover data\n",
    "    'treecover': \"tree_height/geodata_raster/treecover.tif\"\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import xarray as xr\n",
    "import rasterio\n",
    "import rasterio.windows\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "# Define a small window (1000x1000 UL corner) to avoid high time/computation demand\n",
    "window = rasterio.windows.Window(0, 0, 1000, 1000)\n",
    "\n",
    "# Load raster files into an xarray Dataset with NoData handling\n",
    "raster_datasets = []\n",
    "for name, path in raster_paths.items():\n",
    "    with rasterio.open(path) as src:\n",
    "        # Get NoData value from raster metadata\n",
    "        nodata = src.nodata if src.nodata is not None else np.nan\n",
    "        # Read data within the specified window\n",
    "        data = src.read(1, window=window)\n",
    "        \n",
    "        # Replace raster-specific NoData values with np.nan for consistency\n",
    "        if nodata is not np.nan:\n",
    "            data = np.where(data == nodata, np.nan, data)\n",
    "        \n",
    "        # Transform coordinates for the window\n",
    "        transform = src.window_transform(window)\n",
    "        rows, cols = np.arange(window.height), np.arange(window.width)\n",
    "        xs, ys = np.meshgrid(cols, rows)\n",
    "        xs_geo, ys_geo = rasterio.transform.xy(transform, ys, xs)\n",
    "        x_coords = np.array(xs_geo[0])  # X coordinates for columns\n",
    "        y_coords = np.array([row[0] for row in ys_geo])  # Y coordinates for rows\n",
    "\n",
    "        # Create xarray DataArray\n",
    "        da = xr.DataArray(\n",
    "            data,\n",
    "            coords={'y': y_coords, 'x': x_coords},\n",
    "            dims=['y', 'x'],\n",
    "            name=name,\n",
    "            attrs={'nodata': np.nan}  # Store NoData as NaN in attributes\n",
    "        )\n",
    "        raster_datasets.append(da)\n",
    "\n",
    "# Combine all DataArrays into a single Dataset\n",
    "stack = xr.merge(raster_datasets)\n",
    "\n",
    "# Prepare data for prediction\n",
    "# Convert the stack to a 2D array where each row is a pixel and columns are features\n",
    "feature_names = list(raster_paths.keys())\n",
    "data_array = stack.to_array(dim='variable').transpose('y', 'x', 'variable')\n",
    "data_2d = data_array.values.reshape(-1, len(feature_names))\n",
    "\n",
    "# Create a mask for valid data (exclude pixels where any predictor is NaN)\n",
    "valid_mask = ~np.any(np.isnan(data_2d), axis=1)\n",
    "valid_data = data_2d[valid_mask]\n",
    "\n",
    "# Predict tree heights for valid pixels using the trained RandomForestRegressor\n",
    "predictions = np.full(data_2d.shape[0], -1, dtype=np.int16)  # Initialize with NoData value (-1)\n",
    "if valid_data.size > 0:  # Ensure there is valid data to predict\n",
    "    predictions[valid_mask] = rfReg.predict(valid_data).astype(np.int16)\n",
    "else:\n",
    "    print(\"Warning: No valid data (non-NoData pixels) available for prediction.\")\n",
    "\n",
    "# Reshape predictions back to the original raster shape\n",
    "pred_2d = predictions.reshape(data_array.shape[0], data_array.shape[1])\n",
    "\n",
    "# Save the prediction as a new raster file\n",
    "output_path = \"tree_height/geodata_raster/predicted_tree_height_light.tif\"\n",
    "with rasterio.open(list(raster_paths.values())[0]) as src:\n",
    "    profile = src.profile\n",
    "    profile.update(\n",
    "        dtype=rasterio.int16,\n",
    "        nodata=-1,  # Explicitly set NoData value\n",
    "        width=window.width,\n",
    "        height=window.height,\n",
    "        transform=src.window_transform(window)\n",
    "    )\n",
    "\n",
    "with rasterio.open(output_path, 'w', **profile) as dst:\n",
    "    dst.write(pred_2d, 1)\n",
    "\n",
    "# Plot the result using xarray with NoData masking\n",
    "ds_pred = xr.DataArray(\n",
    "    pred_2d,\n",
    "    coords={'y': stack.y, 'x': stack.x},\n",
    "    dims=['y', 'x'],\n",
    "    name='predicted_tree_height',\n",
    "    attrs={'nodata': -1}\n",
    ")\n",
    "\n",
    "# Mask NoData values (-1) for visualization\n",
    "ds_pred_masked = ds_pred.where(ds_pred != -1)\n",
    "\n",
    "# Plot with a colorbar and appropriate scaling for tree heights\n",
    "plt.figure(figsize=(15, 15))\n",
    "ds_pred_masked.plot(cmap='viridis', cbar_kwargs={'label': 'Tree Height (m)'})\n",
    "plt.title(\"Predicted Tree Height (1000x1000px, NoData masked)\")\n",
    "plt.xlabel(\"X (geographic)\")\n",
    "plt.ylabel(\"Y (geographic)\")\n",
    "plt.show()"
   ]
  }
 ],
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