Blender addons to make the bridge between Blender and geographic data
- blender
- addon
- geospatial
- gis
47,133 repositories indexed
1–22 of 22 · Most stars
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.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Rasterio reads and writes geospatial raster datasets
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Fiona reads and writes geographic data files
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
Open-source live tracking, flight database and competition platform for soaring pilots
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.
The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.
peartree: A library for converting transit data into a directed graph for sketch network analysis.
Tools for working with GTFS public transit data in ArcGIS
GeoMet - Pure Python conversion library for common geospatial data formats
Open-source event management, ticketing and membership platform for communities, clubs, independent venues and independent artists.
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
The repository host gives no description.
Python package to detect suspicious OSM changesets
A database manager and API for OSMCha
OpenStreetMap Boundaries for the World!
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).