Geospatial and GIS

Work with maps, coordinates, satellite imagery and location data.

Intermediate

This is an overview — pick a sub-topic below.

Sub-topics (7)

Points/lines/polygons (vector) and gridded images (raster), each in a coordinate reference system (CRS).

Intermediate♥ 0🔖 0💬 0

pandas for geographic data (GeoPandas) built on geometry operations (Shapely).

Easy♥ 0🔖 0💬 0

Read/write vector files (Fiona), raster files (Rasterio), the underlying GDAL engine, coordinate transforms (PyProj), and spatial indexes (Rtree).

Intermediate♥ 0🔖 0💬 0

Interactive web maps (Folium, Leafmap), publication maps (Cartopy), and large-scale visualisations (Kepler.gl, PyDeck).

Easy♥ 0🔖 0💬 0

Street networks from OpenStreetMap (OSMnx), geocoding addresses (Geopy), and raster analysis on Xarray.

Intermediate♥ 0🔖 0💬 0

Analyse Earth-observation data: NDVI, land cover, change detection.

Advanced♥ 0🔖 0💬 0

Automate the QGIS desktop GIS with PyQGIS, or ArcGIS with ArcPy.

Intermediate♥ 0🔖 0💬 0

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