A geographic information system (GIS) is a conceptualized framework that provides the ability to capture and
analyze spatial and geographic data. GIS applications (or GIS apps) are computer-based tools that allow the
user to create interactive queries (user-created searches), store and edit spatial and non-spatial data,
analyze spatial information output, and visually share the results of these operations by presenting them as
maps.
Blender addons to make the bridge between Blender and geographic data
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Free and open-source map hosting solution with custom styles for websites and apps, using OpenStreetMap data
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Documentation and samples for ArcGIS API for Python
Satellite imagery for dummies.
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
Geographic add-ons for Django REST Framework. Maintained by the OpenWISP Project.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A collection of 300+ Python examples for using Google Earth Engine in QGIS
Specification for storing geospatial vector data (point, line, polygon) in Parquet
Python bindings for H3, a hierarchical hexagonal geospatial indexing system
Official repo for the #30DayMapChallenge data visualization project. Open to everyone!
🌎 Simple and fast watershed delineation in python.
🌐 List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)