A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
- google-earth-engine
- gis
- remote-sensing
- image-processing
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A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A cluster computing framework for processing large-scale geospatial data
GRASS - free and open-source geospatial processing engine
efficient tools for LiDAR processing
Neo4j Spatial is a library of utilities for Neo4j that faciliates the enabling of spatial operations on data. In particular you can add spatial indexes to already located data, and perform spatial operations on the data like searching for data within specified regions or within a specified distance of a point of interest.
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis.
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
Street geometry processing toolkit
A Go project to explore the math to calculate and present data in a map using the `Web Mercator Projection`
AI-powered disaster alert system for Pakistan that automatically processes official emergency warning documents.