There are 59 repositories under spatial-analysis topic.
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.
Long list of geospatial tools and resources
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Repository contains pgRouting library. Development branch is "develop", stable branch is "master"
High-level geospatial data visualization library for Python.
Raster-based Spatial Analytics for Python
Kriging Toolkit for Python
Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
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.
The GIS Tools for Hadoop are a collection of GIS tools for spatial analysis of big data.
Tidy Geospatial Networks in R
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis.
Transform geospatial relations into graph representations designed for spatial network analysis and Graph Neural Networks (GNNs).
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.
Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
🌎 Python library to access all public routing, isochrones and matrix APIs in a consistent manner.
Easy-to-use and high-performance TypeScript library for data analysis. Works with tabular, geospatial and vector data.
Powerful, efficient particle trajectory analysis in scientific Python.
A curated list of resources to help you with ArcGIS development, APIs, SDKs, tools, and location services
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.
Open-source backend for Kepler.gl. Self-hosted alternative to CARTO and Foursquare Studio.
R Package for accessing and plotting Google Maps
An R package for spatial and spatiotemporal GLMMs with TMB