[Ráfaga]Nº1226: machine learning, place names, geocoding, python

[Jorge Sanz]

Nº1226: machine learning, place names, geocoding, python

Wed, 11 Dec 2019 by Raf

* 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

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