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Awesome List
Long list of geospatial tools and resources
GitHub stars and default-branch commits for sacridini/Awesome-Geospatial.
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scikit-mobility: mobility analysis in Python
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
Data-driven web maps based on D3 🗺️
A Unified Framework for Random Forest Prediction Error Estimation
Foreign Insight - WebApp providing insights about nationalities in Spain (Source: Instituto Nacional de Estadística)