#1226: machine learning, place names, geocoding, python
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Radiant MLHub is a cloud-based open library for geospatial training data to advance machine learning applications on Earth Observations
https://mlhub.earth/index.html -
This research project on the distribution of the wolf and brown bear in Italy demonstrates how place names reflect the previous spread of animal species
https://natureconservation.pensoft.net/article/38279/ -
This handy geocoder specifically aimed for journalists shows the results of the process directly on a web map to check them before copying them back
https://geocode.localfocus.nl/ -
EarthPy builds upon the functionality developed for raster data (rasterio) and vector data (geopandas) in Python and simplifies the code needed to manipulate spatial data
https://github.com/earthlab/earthpy
Raf