OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
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Updated
May 17, 2024 - Python
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
A cluster computing framework for processing large-scale geospatial data
Long list of geospatial tools and resources
USC urban data science course series with Python and Jupyter
Repository contains pgRouting library. Development branch is "develop", stable branch is "master"
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
The GIS Tools for Hadoop are a collection of GIS tools for spatial analysis of big data.
Boost.Geometry - Generic Geometry Library | Requires C++14 since Boost 1.75
Java map matching library for integrating the map into software and services with state-of-the-art online and offline map matching that can be used stand-alone and in the cloud.
Kriging Toolkit for Python
Proof of concept developer code and samples to help be successful with all ArcGIS developer products (Python, NET, JavaScript, Android…). The repository is designed to be an exchange for sharing coding conventions and wisdom to developers at all skill levels.
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis.
Google Earth Engine for R
depthmapX is a multi-platform Spatial Network Analysis Software
This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
High-level geospatial data visualization library for Python.
A curated set of lightweight but powerful tools for on-the-fly image processing and raster analysis in ArcGIS.
Raster-based Spatial Analytics for Python
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