{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Janusz Godziek: Damaged vs undamaged trees - Random Forest classification\n", "[Video recording](https://youtu.be/fqp3LuXNxXY) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Project description" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The aim of the project was to model tree damage using the random forest technique. The model is based on the data from tree inventories conducted in the Gorce National Park (Polish Carpathians). The dominant tree species in the study area include Norway spruce, European silver fir, and European beech. In the analyzed area the damages of trees are caused primarily by insects (mainly bark beetles) and by the wind. Trees censuses were conducted at 5-year intervals for more than 400 monitoring plots (one plot is a circle with a radius = 12 m). " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Geocomputation part" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Data cleaning and pre-processing**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Python was applied to compute the following variables:\n", "* minimal number of years, in which tree was growing - the number of censuses, in which tree was recorded multiplied by 5 (as censuses were conducted at 5-year intervals),\n", "* maximal diameter at breast height (D), measured in the field,\n", "* maximal tree volume (V), calculated based on diameter at breast height,\n", "* maximal area of breast height cross-section (G), calculated based on diameter at breast height." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For D, V and G maximal value from 6 censuses was selected." ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [], "source": [ "#import packages\n", "import pandas as pd\n", "import geopandas as gpd\n", "import sys\n", "import os\n", "import numpy as np\n", "#import gdal as gd\n", "import fiona\n", "import matplotlib.pyplot as plt\n", "\n", "from osgeo import ogr\n", "import rasterio\n", "from rasterio.plot import show\n", "from rasterstats import zonal_stats\n", "import osmnx as ox\n", "import numpy as np\n", "from fnmatch import fnmatch\n", "from os import listdir" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Miniconda\\lib\\site-packages\\ipykernel_launcher.py:34: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "C:\\Miniconda\\lib\\site-packages\\ipykernel_launcher.py:35: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", "C:\\Miniconda\\lib\\site-packages\\ipykernel_launcher.py:43: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n" ] }, { "data": { "text/plain": [ "Text(0, 0.5, 'percentage share [%]')" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#read data\n", "gpn_data = pd.read_table('forest_stand_database_GPN_20210114.txt')\n", "\n", "\n", "trees = gpn_data[list(gpn_data.filter(regex='d'))] #select only columns starting with 'd' (diameter at breast height)\n", "trees.columns = ['1992', '1997', '2002', '2007', '2012', '2017'] #rename columns\n", "\n", "trees = trees.replace(r'^\\s*$', np.nan, regex=True) #replace blank spaces to NaN\n", "\n", "dam_t = ['P', 'P/Z', 'Pk', 'Pk ', 'PW', 'Pw', 'Pz', 'Pzw', 'Ps', 'U', 'Up', 'Uzw', 'W', 'Z', 'ZW'] #list of strings (codes of damage)\n", "\n", "for d in dam_t:\n", " trees = trees.replace(d, '0') #replace all code with 0 value\n", " \n", "trees = trees.apply(pd.to_numeric) #convert entire dataframe to numeric\n", "trees[trees > 0] = 1 #replace all values bigger than 0 to 1 (in entire dataframe)\n", "\n", "#create column with categorical variable 'damage' [1 = damaged tree, 0 = not-damaged tree]\n", "trees['dam'] = (trees == 0).sum(axis=1) \n", "\n", "#calculate minimal number of years, in which tree was growing (censuses in every 5 years)\n", "trees['n_years'] = (trees == 1).sum(axis=1)*5\n", "\n", "gpn_data1 = gpn_data.apply(pd.to_numeric, errors = 'coerce') #change all df columns to numeric (remove strings)\n", "gpn_data1['G'] = gpn_data1[list(gpn_data1.filter(regex='G'))].max(axis=1) #max G (area of breast height cross-section)\n", "gpn_data1['D'] = gpn_data1[list(gpn_data1.filter(regex='d'))].max(axis=1) #max diameter\n", "gpn_data1['V'] = gpn_data1[list(gpn_data1.filter(regex='V'))].max(axis=1) #max volume\n", "trees_data = gpn_data1[['NrPow', 'G', 'D', 'V']] #select only columns with final values of G, D, V\n", "\n", "#process species data\n", "species = gpn_data[['Gatunek']] #create new dF with species\n", "species.columns = ['Species'] #rename column\n", "#change spruce codes (Św = pol. świerk (spruce))\n", "species['Species'] = species['Species'].replace('Św(p)', 'Św').replace('Św(g)', 'Św').replace('Św(k)', 'Św').replace('Św(w)', 'Św').replace('Św', 'Sw')\n", "species['Species'] = species['Species'].str.strip() #remove whitespaces from data\n", "n_species = pd.DataFrame(species['Species'].value_counts()) #count the number of occurrence of particular species\n", "p100 = len(species.index) #count the number of all trees\n", "\n", "n_species['perc_share'] = n_species['Species']*100/p100 #calculate percentage share of species\n", "n_species3 = n_species.head(3) #select first three rows (with three dominant species)\n", "n_species3.reset_index(inplace = True) #reset index\n", "n_species3.columns = ['sp_name', 'sp_number', 'perc_share'] #rename columns\n", "n_species3['sp_name'] = n_species3['sp_name'].map({'Jd':'fir', 'Sw':'spruce', 'Bk':'beech'}, na_action=None)\n", "\n", "#plot the share of dominant species (spruce, beech, fir)\n", "ax = n_species3.plot.bar(x='sp_name', y='perc_share', rot=0, color = 'g', figsize = (5, 4))\n", "\n", "#set axis labels\n", "ax.set_xlabel('dominant species', size = 10, weight = 'bold')\n", "ax.set_ylabel('percentage share [%]', size = 10, weight = 'bold')" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [], "source": [ "trees_data = trees.iloc[:, -2:].join(trees_data) #join damages and n-years data\n", "trees_data = trees_data.join(species) #join species data\n", "trees_data = trees_data.dropna() #drop all rows with NaN\n", "\n", "#change species codes from string to integer (for modelling purposes)\n", "trees_data['Species'] = trees_data['Species'].map({'Jd':'1', 'Sw':'2', 'Jw':'3', 'Md':'4', 'Lesz':'5', \n", " 'Iwa':'6', 'Jrz':'7', 'Bk':'8', 'Wis':'9', 'Brzb':'10',\n", " 'Olcz':'11', 'Js':'12', 'Os':'13', 'Olsz':'14', 'Gr':'15', \n", " 'Bst':'16'}, na_action=None)\n", "trees_data = trees_data.replace('nan', np.nan) #replace nan with NaN\n", "trees_data = trees_data.astype(float) #change data types to float" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Terrain analysis**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A Digital Terrain Model (DTM) and Digital Surface Model (DSM) were analyzed to check the impact of terrain properties on tree damage. DTM and DSM data were downloaded from the resources of the Polish Head Office of Geodesy and Cartography (geoportal website https://mapy.geoportal.gov.pl/imap/Imgp_2.html?gpmap=gp0&locale=en). These data were acquired in the LiDAR survey and have a spatial resolution of 1 m. The download was automated in R with the use of the rgugik package (https://www.rdocumentation.org/packages/rgugik/versions/0.3.2). Tiles were combined and clipped to the study area boundary with the use of GDAL. DTM derivatives were computed in R. Zonal statistics were performed in Python and calculated for the area of each monitoring plot (delineated as a 12 m buffer around the point location of each plot)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Download DTM and DSM data from Polish geoportal (GUGiK data) -> run in R:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#load packages\n", "library(rgugik)\n", "library(sf)\n", "\n", "setwd('XXXXXXX') #set working directory\n", "\n", "#read shp with mask\n", "area <- read_sf('GPN_mask.shp')\n", "\n", "\n", "#check available gugik data for study area\n", "gugik_data <- DEM_request(area)\n", "\n", "#subset data by certain conditions (select DTM data, resolution 1 m) \n", "gugik_DTM <- gugik_data[(gugik_data$product == \"DTM\")&(gugik_data$resolution==\"1.0 m\")\n", " &(gugik_data$VRS==\"PL-KRON86-NH\")&(gugik_data$format==\"ARC/INFO ASCII GRID\"), ]\n", "\n", "sheetIDs <- read.csv('GPN_mask_sheetIDs.csv') #read csv with sheet IDs\n", "gugik_DTM <- gugik_DTM[gugik_DTM$sheetID %in% sheetIDs$godlo, ] #subset gugik_DTM with the 'godlo' column (select only sheets located within the study area)\n", "\n", "dir.create(file.path(getwd(), 'DTM')) #create new folder for files\n", "tile_download(gugik_DTM, file.path(getwd(), 'DTM'), unzip = T) #download tiles\n", "\n", "\n", "#subset data by certain conditions (select DSM data, resolution 1 m) \n", "gugik_DSM <- gugik_data[(gugik_data$product == \"DSM\")&(gugik_data$resolution==\"1.0 m\")\n", " &(gugik_data$VRS==\"PL-KRON86-NH\")&(gugik_data$format==\"ARC/INFO ASCII GRID\"), ]\n", "\n", "gugik_DSM <- gugik_DSM[gugik_DSM$sheetID %in% sheetIDs$godlo, ] #subset gugik_DSM with the 'godlo' column (select only sheets located within the study area)\n", "\n", "\n", "dir.create(file.path(getwd(), 'DSM')) #create new folder for files\n", "tile_download(gugik_DSM, file.path(getwd(), 'DSM'), unzip = T) #download tiles" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Mosaic DTM and DSM tiles, clip to the boundary of the study area, calculate VHM (bash & GDAL):" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%%bash\n", "gdalbuildvrt TA/GPN_DTM.vrt DTM/*.asc #built mosaic in .vrt format\n", "gdal_translate -of GTiff -co \"TILED=YES\" -a_srs \"epsg:2180\" TA/GPN_DTM.vrt TA/GPN_DTM.tif #convert from .vrt to .tif, set crs to epsg:2180\n", "gdalwarp -cutline GPN_mask.shp -crop_to_cutline TA/GPN_DTM.tif TA/GPN_mask_DTM.tif #crop tif to the boundary of shp\n", "\n", "gdalbuildvrt TA/GPN_DSM.vrt DSM/*.asc #built mosaic in .vrt format\n", "gdal_translate -of GTiff -co \"TILED=YES\" -a_srs \"epsg:2180\" TA/GPN_DSM.vrt TA/GPN_DSM.tif #convert from .vrt to .tif, set crs to epsg:2180\n", "gdalwarp -cutline GPN_mask.shp -crop_to_cutline TA/GPN_DSM.tif TA/GPN_mask_DSM.tif #crop tif to the boundary of shp\n", "\n", "gdal_calc.py -A TA/GPN_mask_DSM.tif -B TA/GPN_mask_DTM.tif --outfile=TA/GPN_mask_VHM.tif --calc=\"A - B\" #calculate vegetation height model (VHM)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Visualize the topography of the study area" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 40, "metadata": { "image/png": { "height": 400, "width": 400 } }, "output_type": "execute_result" } ], "source": [ "from IPython.display import Image\n", "Image(filename=\"TA/DTM_mask.png\", width = 400, height = 400)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Compute DTM derivatives -> run in R:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "library(Rsagacmd)\n", "library(raster)\n", "library(sp)\n", "\n", "setwd('XXXXX') #set working directory\n", "DTM <- \"TA/GPN_mask_DTM.tif\" #read DTM data\n", "\n", "\n", "aspect_DTM <- terrain(raster(DTM), opt = \"aspect\", unit = \"degrees\") #compute aspect\n", "slope_DTM <- terrain(raster(DTM), opt = \"slope\", unit = \"degrees\") #compute slope\n", "crs(aspect_DTM, slope_DTM) = \"EPSG:2180\" #set crs\n", "writeRaster(aspect_DTM, file.path(pth, \"/\", site_name, \"_Aspect.tif\", fsep = \"\")) #export to tif\n", "writeRaster(slope_DTM, file.path(pth, \"/\", site_name, \"_Slope.tif\", fsep = \"\")) #export to tif\n", "\n", "saga = saga_gis() #read all SAGA GIS modules\n", "\n", "BasicTA <- saga$ta_compound$basic_terrain_analysis(DTM) #execute SAGA basic terrain analysis\n", "writeRaster(BasicTA$wetness, file.path(pth, \"/\", site_name, \"_TWI.tif\", fsep = \"\")) #export selected rasters to tif\n", "writeRaster(BasicTA$hcurv, file.path(pth, \"/\", site_name, \"_hcurv.tif\", fsep = \"\"))\n", "writeRaster(BasicTA$vcurv, file.path(pth, \"/\", site_name, \"_vcurv.tif\", fsep = \"\"))\n", "\n", "#Wind Exposition\n", "WindExp <- saga$ta_morphometry$wind_exposition_index(DTM)\n", "writeRaster(WindExp, file.path(pth, \"/\", site_name, \"_WindExp.tif\", fsep = \"\"))\n", "\n", "#terrain rugedness index (TRI)\n", "TRI <- saga$ta_morphometry$terrain_ruggedness_index_tri(DTM)\n", "writeRaster(TRI, file.path(pth, \"/\", site_name, \"_TRI.tif\", fsep = \"\"))\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Zonal statistics - computation in Python" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "gpn_plots = gpd.read_file('powierzchnie_monitoringowe_400.shp') #read shapefile\n", "\n", "gpn_plots_b12 = gpn_plots #create buffers\n", "gpn_plots_b12 = gpn_plots.to_crs(2180) #set crs\n", "gpn_plots_b12['geometry'] = gpn_plots.geometry.buffer(distance = 12) #generate buffer of 12 m around each point\n", "gpn_plots_b12.to_file(driver = 'ESRI Shapefile', filename = \"gpn_plots_b12.shp\") #save to shp\n", "gpn_plots_b12['row_num'] = np.arange(len(gpn_plots_b12)) #create column with row number\n", "gpn_plots_b12.set_index('row_num', inplace = True) #set index\n", "gpn_plots_b12\n", "\n", "gpn_plots_ids = gpn_plots_b12[['id']] #new dataframe with plot IDs" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Miniconda\\lib\\site-packages\\rasterstats\\io.py:313: UserWarning: Setting nodata to -999; specify nodata explicitly\n", " warnings.warn(\"Setting nodata to -999; specify nodata explicitly\")\n", "C:\\Miniconda\\lib\\site-packages\\numpy\\core\\_methods.py:38: RuntimeWarning: overflow encountered in reduce\n", " return umr_sum(a, axis, dtype, out, keepdims, initial, where)\n", "C:\\Miniconda\\lib\\site-packages\\rasterstats\\main.py:235: UserWarning: Warning: converting a masked element to nan.\n", " feature_stats['std'] = float(masked.std())\n" ] } ], "source": [ "#loop to compute zonal statistics\n", "\n", "directory = 'TA/'\n", "pattern = \"GPN_mask_*.tif\"\n", "zs_output = [] #empty list to append results\n", "\n", "\n", "for path, subdirs, files in os.walk(directory):\n", " for raster in files:\n", " if fnmatch(raster, pattern):\n", " deriv = rasterio.open(os.path.join(directory, raster))\n", " deriv_arr = deriv.read(1) #convert raster to array\n", " deriv_affine = deriv.transform\n", " deriv_zs = zonal_stats(gpn_plots_b12, deriv_arr, affine = deriv_affine, stats=['min', 'max', 'mean', 'std'])\n", " deriv_zs = pd.DataFrame(deriv_zs) #convert to dataframe\n", " deriv_zs.columns = ['_min', '_max', '_mean', '_std'] #rename columns\n", " deriv_zs = deriv_zs.add_prefix(raster.replace('.tif', '').replace('GPN_mask_', '')) #add prefix to each column name\n", " zs_output.append(deriv_zs) #append data to list\n", " \n", "zs_output\n", "\n", "zs_ta_gpn = pd.concat(zs_output, join='outer', axis=1, sort = True) #concatenate data from list to single dF\n", "zs_ta_gpn['row_num'] = np.arange(len(zs_ta_gpn)) #create column with row number\n", "zs_ta_gpn.set_index('row_num', inplace = True) #set index\n", "zs_ta_gpn = gpn_plots_ids.join(zs_ta_gpn) #join with plot ID data\n", "zs_ta_gpn.set_index('id', inplace = True) #set plot ID data as index" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Export data\n", "\n", "zs_ta_gpn.to_excel('TA/zonal_statistics_TA_GPN.xlsx') #save to excel\n", "\n", "#convert to shp, export\n", "zs_ta_gpn2 = zs_ta_gpn.join(gpn_plots)\n", "zs_ta_gpn2 = gpd.GeoDataFrame(zs_ta_gpn2, geometry=gpd.points_from_xy(zs_ta_gpn2.x, zs_ta_gpn2.y), \n", " crs = 'EPSG:4326') #convert to geodataframe, set crs\n", "zs_ta_gpn2 = zs_ta_gpn2.to_crs({'init': 'EPSG:2180'}) #convert coordinates to PWG92\n", "zs_ta_gpn2.to_file(driver = 'ESRI Shapefile', filename = \"TA/zonal_statistics_TA_GPN.shp\") #save to shp" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Modelling part" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Random Forest**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "RandomForestClassifier from the sklearn package was applied to classify trees into 'damaged' and 'undamaged'. The performance of the model was measured by applying two metrics: Accuracy and ROC AUC." ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [], "source": [ "#import packages\n", "from rasterio.plot import show\n", "from sklearn.ensemble import RandomForestClassifier\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" ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The number of trees taken into consideration in modelling is 17875.\n" ] } ], "source": [ "#prepair predictors\n", "ta_gpn = pd.read_excel('TA/zonal_statistics_TA_GPN.xlsx') #read terrain analysis data\n", "sites_gpn = pd.read_excel('sites_trees_var3.xlsx') #read sites data extracted from GPN database\n", "variables = sites_gpn.join(ta_gpn) #join data\n", "variables.set_index('NrPow', inplace = True) #set index\n", "\n", "#reduce the number of variables\n", "variables = variables.drop(['objectid', 'kod', 'geometry', 'id', 'TRI_min', 'TRI_max', 'TRI_mean', 'TRI_std',\n", " 'DSM_min', 'DSM_max', 'DSM_mean', 'DSM_std', \n", " 'DTM_min', 'DTM_max', 'DTM_mean', 'DTM_std',\n", " 'PlanCurv_min', 'PlanCurv_max', 'PlanCurv_mean', 'PlanCurv_std', \n", " 'ProfCurv_min', 'ProfCurv_max', 'ProfCurv_mean', 'ProfCurv_std', \n", " 'WindExp_min', 'WindExp_max', 'WindExp_mean', 'WindExp_std'], axis = 1)\n", "\n", "predictors = variables.iloc[:, 6:] #select predictors\n", "predictors.reset_index(inplace = True)\n", "\n", "#drop plots with not-unique number (5 plots)\n", "predictors.drop(predictors[(predictors['NrPow'] == 11600) | (predictors['NrPow'] == 21292)].index, inplace=True)\n", "\n", "\n", "#merge (with validation many_to_one)\n", "trees_data_predictors = pd.merge(trees_data, predictors, how='outer', on='NrPow', validate = 'many_to_one') #merge\n", "trees_data_predictors = trees_data_predictors.dropna() #drop rows with NaN\n", "trees_data_predictors.insert(0, 'NrPow', trees_data_predictors.pop('NrPow')) #move the column 'NrPow' to the first position\n", "trees_data_predictors.to_excel('trees_data_predictors_v2.xlsx') #save to excel\n", "n = len(trees_data_predictors.index) #count number of rows of data frame\n", "print(f'The number of trees taken into consideration in modelling is {n}.')" ] }, { "cell_type": "code", "execution_count": 77, "metadata": {}, "outputs": [], "source": [ "#Apply RANDOM FOREST CLASSIFIER\n", "#https://www.datacamp.com/tutorial/random-forests-classifier-python\n", "\n", "from sklearn.ensemble import RandomForestClassifier\n", "from sklearn import metrics\n", "\n", "X = trees_data_predictors.iloc[:, 2:].values #predictors\n", "Y = trees_data_predictors.iloc[:, 1].values #response variable\n", "feat = trees_data_predictors.iloc[:, 2:].columns.values #predictors names" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(17875, 36)" ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X.shape" ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(17875,)" ] }, "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Y.shape" ] }, { "cell_type": "code", "execution_count": 80, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['n_years', 'G', 'D', 'V', 'Species', 'n_tr', 'n_sp', 'dom_sp',\n", " 'perc_Jd', 'perc_Sw', 'perc_Bk', 'slope', 'exp', 'bedrock', 'soil',\n", " 'hab_type', 'phyto_cmp', 'x', 'y', 'h', 'Aspect_min', 'Aspect_max',\n", " 'Aspect_mean', 'Aspect_std', 'Slope_min', 'Slope_max',\n", " 'Slope_mean', 'Slope_std', 'TWI_min', 'TWI_max', 'TWI_mean',\n", " 'TWI_std', 'VHM_min', 'VHM_max', 'VHM_mean', 'VHM_std'],\n", " dtype=object)" ] }, "execution_count": 80, "metadata": {}, "output_type": "execute_result" } ], "source": [ "feat" ] }, { "cell_type": "code", "execution_count": 81, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Accuracy: 0.9025509062430074\n", "ROC AUC: 0.8402930583063716\n" ] } ], "source": [ "#Create 4 dataset for training and testing the algorithm\n", "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)\n", "\n", "#Create a Gaussian Classifier\n", "clf = RandomForestClassifier(n_estimators=100, #the number of trees\n", " min_samples_leaf = 5, #minimum number of samples required to be at a leaf node\n", " max_features = 'auto') #the number of features to consider when looking for the best split; \n", " #'auto' -> max_features=sqrt(n_features)\n", "\n", "#Train the model using the training sets y_pred=clf.predict(X_test)\n", "clf.fit(X_train,y_train)\n", "y_pred=clf.predict(X_test)\n", "\n", "# Model Accuracy and ROC AUC -> how often is the classifier correct?\n", "print(\"Accuracy:\",metrics.accuracy_score(y_test, y_pred))\n", "print(\"ROC AUC:\",metrics.roc_auc_score(y_test, y_pred))" ] }, { "cell_type": "code", "execution_count": 82, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#check feature importance\n", "impt = [clf.feature_importances_, np.std([tree.feature_importances_ for tree in clf.estimators_],axis=1)] \n", "ind = np.argsort(impt[0])\n", "\n", "#plot the importance of predictors\n", "plt.rcParams[\"figure.figsize\"] = (6,12)\n", "plt.barh(range(len(feat)),impt[0][ind],color=\"limegreen\")\n", "plt.yticks(range(len(feat)),feat[ind]);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Summary**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Applied parameters of Random Forest allowed achieving high accuracy (above 0.9). However, different RF parameters may be tested to check model performance. The choice of predictors should also be reconsidered and different combinations of predictors can be tested.\n", "* The most important predictors are the minimal number of years, in which the tree was growing (n_years), species, and single tree parameters (V, D, G). This may prove, that older trees are much more prone to damage.\n", "* Terrain parameters seem to not exert significant influence on tree damages.\n", "* In the future other machine learning algorithms might be tested to model tree damage on this dataset.\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 4 }