Spatial Ecology provides training in open-source software for geospatial data processing. Our courses are tailored to serve the needs of government, multi-lateral, corporate, educational and not-for-profit institutions.
We equip data analysts and programmers of all skill levels with the essential tools to master geodata research across various disciplines. For a synopsis of subjects taught on the course, please view this video https://youtu.be/1jcZAY-ZJmk
Our aim is to empower trainees to convert complex analyses into visualised outputs that are easily understood by non-technical decision makers and a wider range of audience. We are a non-profit organisation based in the United Kingdom.
Geocomputation & Machine Learning course 2024
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Geodataset: Hydrography90m
Mapping rivers and streams!! Hydrography90m: A new high-resolution global hydrographic dataset!
Article https://t.co/uRuB4jnfdr
Dataset https://t.co/WLR5dFSy7T
Video https://t.co/sg7Sy4aBtIhttps://t.co/JNpt9x3II0 @LeibnizIGB @YaleCRC @YaleEnvironment— spatial-ecology (@BigDataEcology) November 3, 2022
I have just learned about tis https://t.co/Luads66SSu super rich resource of knowledge in processing @BigDataEcology from Giuseppe Amatulli. Wow. Tutorials, videos, online courses. Just perfect. @opengeohub
— Matej Man (@man_matej) August 21, 2020
Our paper "Geomorpho90m: Global High-Resolution Geomorphometric Layers" is finally out!!!
Pub https://t.co/90WvoL4EFw
Manual https://t.co/0TU7X8IAj0
Data https://t.co/derMeU0V99
WebGis https://t.co/6d2OQraJnH
| @GRASSGIS | @OpenTopography | @opengeohub | @YaleCRC tools @OSGeo pic.twitter.com/87MYV2qUlq— spatial-ecology (@BigDataEcology) June 1, 2020