There are 52 repositories under spatial-analysis topic.
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.
Long list of geospatial tools and resources
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
High-level geospatial data visualization library for Python.
Repository contains pgRouting library. Development branch is "develop", stable branch is "master"
Raster-based Spatial Analytics 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
Kriging Toolkit for Python
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.
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis.
Tidy Geospatial Networks in R
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.
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.
Powerful, efficient particle trajectory analysis in scientific Python.
🌎 Python library to access all public routing, isochrones and matrix APIs in a consistent manner.
R Package for accessing and plotting Google Maps
A curated list of resources to help you with ArcGIS development, APIs, SDKs, tools, and location services
Easy-to-use and high-performance JavaScript library for data analysis. Works with tabular and geospatial data.
peartree: A library for converting transit data into a directed graph for sketch network analysis.
Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
depthmapX is a multi-platform Spatial Network Analysis Software
A curated set of lightweight but powerful tools for on-the-fly image processing and raster analysis in ArcGIS.