Repository navigation
geospatial-analysis
- Website
- Wikipedia
WebGL2 powered visualization framework
Long list of geospatial tools and resources
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
GRASS - free and open-source geospatial processing engine
A collection of Python packages for geospatial analysis with binder-ready notebook examples
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
Course materials for: Geospatial Data Science
Geo Spatial Data Analytics on Spark
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Download Agisoft PhotoScan Professional - Advanced Photogrammetry Software for 3D Modeling, Orthophoto Generation, and Point Cloud Processing in 2025
MicaSense RedEdge and Altum image processing tutorials
Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.
Over 60 recipes to work with topology, overlays and indoor routing
a package to create and plot Voronoi regions within geographic boundaries
A Python library for performing geospatial data analysis which reimplements turf.js.
A lightweight and efficient Python Morton encoder with support for geo-hashing
GRASS Addons Repository
WASM + JS port of GEOS
Actinia Core is an open source REST API for scalable, distributed, high performance processing of geographical data that uses mainly GRASS GIS for computational tasks (DOI: https://doi.org/10.5281/zenodo.5879231) | Tutorial: https://actinia-org.github.io/actinia-core/ | Docker: https://hub.docker.com/r/mundialis/actinia-core