Blender addons to make the bridge between Blender and geographic data
- blender
- addon
- geospatial
- gis
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Blender addons to make the bridge between Blender and geographic data
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
GeoAI: Artificial Intelligence for Geospatial Data
GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and LoD1 3D models
Documentation and samples for ArcGIS API for Python
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci
The Geospatial Neighborhood Analysis Package
Find roads that are the most curvy or twisty based on Open Street Map (OSM) data.
The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.
Tools for working with GTFS public transit data in ArcGIS
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
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GTFS Segments: A fast and efficient library to generate bus stop spacings
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).
AI-powered disaster alert system for Pakistan that automatically processes official emergency warning documents.