😎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.
R Package for accessing and plotting Google Maps
A curated set of lightweight but powerful tools for on-the-fly image processing and raster analysis in ArcGIS.
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.
Development version of 'spatstat' package ..............................
depthmapX is a multi-platform Spatial Network Analysis Software
Powerful, efficient particle trajectory analysis in scientific Python.
peartree: A library for converting transit data into a directed graph for sketch network analysis.
GPstuff - Gaussian process models for Bayesian analysis
Discrete Global Grids for R: Spatial Analysis Done Right
USC urban data science course series with Python and Jupyter
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
Landsat8 scene calculator
Creates NDVI, SAVI, RBG, NIR, short wave infrared, agriculture, geology, and bathymetric GeoTIFF files using Landsat8 imagery.
R package for Bayesian spatial and spatiotemporal GLMMs with possible extremes
Association Rule Mining from Spatial Data for Crime Analysis
A cluster computing framework for processing large-scale geospatial data
High-level geospatial data visualization library for Python.
Repository contains pgRouting library. Development branch is "develop", stable branch is "master"
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.
Gis Tools For Hadoop
The GIS Tools for Hadoop are a collection of GIS tools for spatial analysis of big data.
Spatial Framework For Hadoop
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
Boost.Geometry - Generic Geometry Library | Requires C++14 since Boost 1.75
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
Notebooks and libraries for spatial/geo Python explorations
ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently
A Data Clinic project that aggregates NYC Open Data at the tract-level and uses Machine Learning techniques to re-imagine neighborhood boundaries.
Remote Sensing for Movement Ecology
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 sc…
Implementation of ST-DBSCAN algorithm based on Birant 2007
characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities
🌎 Python library to access all public routing, isochrones and matrix APIs in a consistent manner.
Package with spatial analysis and spatial prediction tools
An introductory course on using R for geographic data visualisation and analysis (in Russian).
sabre: Spatial Association Between REgionalizations