Python

HiRoNEx is a Python tool for automatic, fully unsupervised extraction of historical road networks from historical maps. Check it out here.

PyGMT is a Python library for processing geospatial and geophysical data and making publication quality maps and figures. Here is a short course on using PyGMT.

Here is a global downscaled climate data product spanning multiple downscaling methods (source code included), alongside an interactive mapping tool for inspecting, exploring, and comparing the data.

This website aims to list all open-source (OS) Python libraries that can be used for doing various operations, analyses, visualizations etc. related to GIS and Earth Observation.

This post describes the process of turning a raster dataset into a SpatioTemporal Asset Catalog (STAC) object using Python.

This talk introduces a geospatial extension to the Parquet file format (GeoParquet) and a geospatial extension to the Arrow columnar format (GeoArrow).

The scikit-mobility library allows to represent trajectories and mobility flows, manage and manipulate mobility data, extract mobility metrics and patterns, and more. Check it out here.

PyGIS is a Python package for installing optional dependencies for geemap and leafmap with only one command.

EOReader is a remote sensing open-source Python library reading optical and SAR constellations, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

Check out these courses on geography, statistics, QGIS, and working with geospatial data in R/Python. These resources could be useful for anyone who integrates geography and statistics.