Spatial analysis software is software written to enable and facilitate spatial analysis. Currently, there are several packages, both free software and proprietary software, which cover most of the spatial data infrastructure stack.

Packages

Package Free of charge Operating Systems Developer institution/person Website Field of interest (if any specific) Main Features Language License
CARTO No Web-based (Cloud SaaS) CARTO www.carto.com Spatial data science & location intelligence Spatial SQL, spatial data science, location analytics, site selection, data visualization, mapping, geocoding and app development. Access to a catalog of 1,000s of spatial datasets. Proprietary (with free trial available).
Fract No Linux, Windows, Unix, iOS, Android, Windows Phone, Cloud Fract, Inc. www.fract.com Geospatial AI Analytics for Business Intelligence Ease of use, AI feedback, Territory Mapping Proprietary
Mapcite Yes for Excel addin Linux, Windows, Unix, iOS, Android, Windows Phone Mapcite Ltd - London and Sydney www.mapcite.com Geospatial data analytics, location data sets, geocoding Ease of aggregation and harmonisation of disparate data sets to expose insights and create new data. Proprietary
360FranTerra

20/20iSite

MarketMentor

No GbBIS GbBIS Custom web applications used for a range of spatial analysis including franchise territory design and management, location analysis and site selection, market analysis and more.
LuciadLightspeed No Linux, Windows, Unix, iOS, Android, Windows Phone Luciad Luciad LuciadLightspeed is widely recognized as the leading set of high-performance geospatial software components. LuciadLightspeed consists of over 100 different software components and connectors to fuse, visualize and analyze geospatial data. This can include static and moving data, maps, satellite imagery, crowd-sourced data, full motion video, weather data and terrain elevation in many different geodetic references and map projections. Geo-fencing, line-of-sight calculations, geo-triggered events, dynamic and complex route calculations and automated anomaly detection are just a mouse click away. Independent benchmark tests by academia and industry leave no doubt: LuciadLightspeed is over 100 times faster and more accurate than traditional GIS software. Web API, Java-J2EE, .NET, JavaScript, HTML5 Proprietary.
Polaris Intelligence No Linux, Windows, Unix, iOS, Android, Windows Phone Polaris Intelligence Polaris Intelligence Geospatial data analytics, business intelligence Easy to use. Polaris Intelligence consists of multiple modules including mapping (thematic maps, heat maps, POI maps, trade area maps), customer profiling, gravity models, customer allocation models, feature selection, data mining, and targeting. A key strength is the vast quantities of consumer geo-demographic and behaviour data native to the platform.
ArcGIS No Linux, Windows, Unix, iOS, Android, Windows Phone Esri Esri A GIS system to create, visualize, manage, and analyze spatial data. Supports desktop, web, and mobile applications. In addition to spatial data editing and visualization, ArcGIS provides spatial analysis and modeling features including overlay, surface, proximity, suitability, and network analysis, as well as interpolation analysis and other geostatistical modeling techniques. Python, Web API, .NET Proprietary. Analytical extensions can be purchased separately.
ClusterPy (non-GUI, open source)
GeoGrouper (GUI, free)
yes Linux, MAC OS, Windows RiSE group (@gmail:rise.group.eafit), Dr. Juan C. Duque and Boris Dev ClusterPy
Geogrouper
Spatial clustering Library of algorithms to aggregate areas into regions, where each region is geographically connected, while optimizing a predefined objective function. Python BSD license
R-Analysis of Spatial Data yes Linux, MAC OS, Windows Roger Bivand (maintainer) CRAN site for Analysis of Spatial Data, R-Forge site Analysis Full integration of spatial data analysis tools with the R: classes for spatial data; handling spatial data; reading and writing spatial data; point pattern analysis; geostatistics; disease mapping and areal data analysis; spatial regression and ecological analysis. R GPL-2
Google Earth yes Linux, MAC OS, Windows Google Google Earth 3D visualisation Easy to use, dynamic graphics, historical maps, users can create dynamic "tours," integrated with the Web. - Freeware
PySAL yes Linux, MAC OS, Windows GeoDa Center pysal.org Analysis Modules for: computational geometry, spatial weights, ESDA, inequality,

mobility and spatial econometrics

Python BSD license
Minerva yes Linux, MAC OS, Windows Fulton High Performance Computing Initiative

(Arizona State University)

Minerva Project Visualization (3D) High performance; ability to display large amounts of raster and vector from multiple sources C++ BSD license
GMap Creator yes Linux, MAC OS, Windows CASA CASA website for GMap Creator Web Mapping Thematic mapping. Creates image pictures from shapefiles and creates Google Maps websites with the data linked to the shapefile - Freeware
QGIS yes Linux, MAC OS, Windows QGIS Development Team qgis.org Visualization Easy to use, ability to expand functionality with Python plugins. Geo-processing functions included. C++ GPL
GRASS yes Linux, MAC OS, Windows GRASS Development Team http://grass.osgeo.org GIS Extensive set of GIS tools for both raster and vector data, SQL, visualization, voxel C, C++, Python, Tcl GPL
GeoDa yes Windows, MAC OS, Linux Center for Spatial Data Science, University of Chicago website Analysis Interactive exploratory spatial data analysis, dynamic linking and brushing for cross-section data, local cluster stats, basic spatial regression capabilities. C++ GPL
STARS yes Linux, MAC OS, Windows GeoDa Center Website at REGAL Analysis ESTDA (Exploratory Space-Time Data Analysis). Interactive linking, brushing and travelling for space-time data Python GPL
GeoDaSpace yes MAC OS, Windows Center for Spatial Data Science, University of Chicago Download Spatial Econometrics Advanced spatial models for cross section (GMM, IV and spatial HAC) Python Freeware
SANET yes Windows Atsu Okabe Website Point patterns in networks Analysis of events that occur on networks or alongside networks. Includes 14 tools for point patterns in networks

(list)

- Freeware (terms)
CrimeStat yes Windows Ned Levine and Associates Website Spatial analysis of points, zones, and lines Basic spatial description, hot spot analysis, kernel density interpolation, space-time interaction, journey-to-crime analysis (Geographic profiling), crime travel demand modelling, and spatial regression. - Freeware
SaTScan yes Windows, Linux, MAC OS Martin Kulldorff and Information Management Services Inc. satscan.org Applications by Field of Study Spatial, temporal and Space-Time Scan Statistics C/C++, Java Freeware
Croizat yes Linux, MAC OS, Windows Mauro J. Cavalcanti Website at SourceForge Panbiogeography Ability to integrate and analyze spatial data on species or other taxa and

to explore geographical patterns in diversity under a panbiogeographic and graph-theoretic approach

Python GPL
Hawths Tools yes (Requires ArcGIS, which is not free) Windows Hawthorne Beyer Website Ecology Analysis, sampling, animal movements, kernel, raster, table, vector editing, specialist and other tools. Freeware
Fragstats yes Windows Dr. Kevin McGarigal - University of Massachusetts Website Landscape metrics for categorical map patterns Area, density, edge metrics. Shape metrics (Fractal dimension index) and much more. Visual C++ Freeware
Patch Analyst yes Windows Rob Rempel - Centre for Northern Forest Ecosystems Research Website Patch metrics for categorical map patterns Mean patch size, Number of patches, Indices of patchiness, edge metrics, and much more. Visual C++ Freeware
SAGA yes Windows, Linux Institute of Geography at the University of Hamburg, Germany Website GIS, Analysis Grid analysis, Geostatistics, Terrain Analysis, Hydrology simulation, TIN tools. C++ OpenSource
Whitebox GAT yes Linux, MAC OS, Windows John Lindsay - Centre for Hydrogeomatics, University of Guelph, Canada Website GIS and remote sensing package GIS analysis, hydrological tools, image processing tools, LiDAR tools, statistical analysis, stream network analysis, terrain analysis .NET framework 3.5 GPL
ILWIS Open yes Windows ITC - Netherlands Website Remote sensing and GIS software which integrates image, vector and thematic data. Integrated raster and vector design; import and export of widely used data formats; on-screen and tablet digitizing; image processing tools; orthophoto, image geo-referencing, transformation and mosaicing; Advanced modelling and spatial data analysis; 3D visualization; projection and coordinate system library; geo-statistical analyses; production and visualization of stereo image pairs; spatial Multiple Criteria Evaluation; WMS; Surface Energy Balances. - GPL
Map Comparison Kit (MCK) yes Windows Research Institute for Knowledge Systems MCK Website Map comparisons for categorical and numerical maps. A large number of map comparison algorithms for categorical and numerical maps, including Kappa, variations to Kappa, and landscape metrics. C++ Freeware
IDRISI No Windows Clark Labs/Clark University Clark Labs GIS, Image Processing, Spatial Modelling A GIS analysis package for basic and advanced spatial analysis, an Image Processing system with extensive hard and soft classifiers including machine learning classifiers, integrated modelling environments including the Earth Trends Modeller for image time series of environmental trends and Land Change Modeller for land change analysis and prediction. Delphi Proprietary
Biodiverse Yes Linux, Windows, Unix, macOS Shawn Laffan Biodiverse Biogeography, Biodiversity, Environmental Biodiverse is a tool for the spatial analysis of diversity using indices based on taxonomic, phylogenetic and matrix-based (e.g. genetic distance) relationships, as well as related environmental variations. Biodiverse supports: linked visualisation of data in geographic, taxonomic, phylogenetic and matrix spaces; Spatial moving window analyses; Spatially constrained agglomerative cluster and region grower analyses; and Randomisations for hypothesis testing. Perl LGPL
ERDAS IMAGINE No Windows Intergraph ERDAS IMAGINGE Remote Sensing, Image Processing, Spatial Modelling, GIS ERDAS IMAGINE incorporates geospatial image processing and analysis, remote sensing, and GIS capabilities into a single powerful, convenient package. ERDAS IMAGINE enables users to easily create value-added products such as 2D and 3D images, 3D fly-through movies, and cartographic-quality map compositions from geospatial data. C, C++ Proprietary
TerraLens No Linux, Windows, Unix, MacOS, Android, Windows Phone Kongsberg Geospatial Kongsberg Geospatial TerraLens is a real-time computing geospatial software platform optimized for mission-critical applications and performance on low-end hardware and chipsets. TerraLens is a geospatial platform that includes a comprehensive core API, as well as additional tools like a Web Map Tile Service (WMTS) tile server, a map styling and packaging tool, and a UI development middleware toolkit. TerraLens is designed to easily fuse and integrate a wide range of real-time data sources, including SONAR, RADAR, and LIDAR data, full-motion video, and proprietary or open-source data that includes geolocation elements with terrain elevation and satellite imagery in a wide range of formats and map projections. TerraLens is used extensively for real-time applications including naval and air defence, beyond visual line-of-sight (BVLOS) mission management for unmanned systems, and air traffic management. C++, Java-J2EE, .NET, QT (software), Web GL Proprietary
GIS Spatial Analytics & Analysis No Web-based Marketing Systems Group GIS Spatial Analytics & Analysis Spatial analysis and data visualization for an array of business and government sectors Leverage the power of geographic and demographic data using MSG’s full suite of GIS services: reports and maps, geocoding, spatial analytics, geographic frame design and much more. From simple maps and reports to multifaceted data, spatial projects, and custom consulting, MSG’s GIS group has you covered. - Proprietary

See also

References

    Sources

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