List of spatial analysis software

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Spatial analysis software is software written to enable and facilitate spatial analysis. It comprises a broad class of tools designed to store, manipulate, visualize, and interpret data with a geographic or spatial component. These applications support tasks such as geostatistics, spacial modeling, network analysis, and raster-vector processing, enabling researchers and practitioners to derive meaningful patterns and relationships from location-based information.

Contents

Currently, there are several software packages, ranging from fully open-source projects to proprietary software, which address different layers of the spatial data infrastructure stack. [1] [2]

Packages

PackageFree of chargeOperating SystemsDeveloper institution/personField of interest (if any specific)Main FeaturesLanguageLicense
Snappy MapperYes, for non-commercial useWeb-basedSnappy MapperVector dataBridges the knowledge gap between users and GIS entities, allowing data generation and sharing by non-technical usersProprietary (with free trial available).
CARTONoWeb-based (Cloud SaaS)CARTOSpatial data science & location intelligenceSpatial 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).
FractNo Linux, Windows, Unix, iOS, Android, Windows Phone, Cloud Fract, Inc.Geospatial AI Analytics for Business IntelligenceEase of use, AI feedback, Territory MappingProprietary
MapciteYes for Excel addin Linux, Windows, Unix, iOS, Android, Windows Phone Mapcite Ltd - London and SydneyGeospatial data analytics, location data sets, geocodingEase of aggregation and harmonisation of disparate data sets to expose insights and create new data.Proprietary
360FranTerra

20/20iSite

MarketMentor

NoGbBISCustom web applications used for a range of spatial analysis including franchise territory design and management, location analysis and site selection, market analysis and more.
LuciadLightspeedNo Linux, Windows, Unix, iOS, Android, Windows Phone 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 IntelligenceNo Linux, Windows, Unix, iOS, Android, Windows Phone Polaris Intelligence Geospatial data analytics, business intelligenceEasy 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 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, Dr. Juan C. Duque and Boris DevSpatial clusteringLibrary 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 Datayes Linux, MAC OS, Windows Roger Bivand (maintainer)AnalysisFull 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 3D visualisation Easy to use, dynamic graphics, historical maps, users can create dynamic "tours," integrated with the Web.- Freeware
PySALyes Linux, MAC OS, Windows GeoDa CenterAnalysisModules for: computational geometry, spatial weights, ESDA, inequality,

mobility and spatial econometrics

Python BSD license
Minervayes Linux, MAC OS, Windows 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 Creatoryes Linux, MAC OS, Windows CASACASA website for GMap Creator, Web MappingThematic 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 TeamVisualizationEasy to use, ability to expand functionality with Python plugins. Geo-processing functions included.C++ GPL
GRASS yes Linux, MAC OS, Windows GRASS Development TeamGISExtensive set of GIS tools for both raster and vector data, SQL, visualization, voxelC, C++, Python, Tcl GPL
GeoDa yes Windows, MAC OS, Linux Center for Spatial Data Science, University of ChicagoAnalysisInteractive exploratory spatial data analysis, dynamic linking and brushing for cross-section data, local cluster stats, basic spatial regression capabilities.C++ GPL
STARSyes Linux, MAC OS, Windows GeoDa CenterAnalysisESTDA (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 ChicagoSpatial EconometricsAdvanced spatial models for cross section (GMM, IV and spatial HAC) Python Freeware
SANETyes Windows Atsu Okabe Point patterns in networksAnalysis of events that occur on networks or alongside networks. Includes 14 tools for point patterns in networks- Freeware
CrimeStat yes Windows Ned Levine and Associates Spatial analysis of points, zones, and linesBasic 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
SaTScanyes Windows, Linux, MAC OS Martin Kulldorff and Information Management Services Inc.Applications by Field of StudySpatial, temporal and Space-Time Scan StatisticsC/C++, Java Freeware
Croizatyes Linux, MAC OS, Windows Mauro J. CavalcantiPanbiogeographyAbility 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 Toolsyes (Requires ArcGIS, which is not free) Windows Hawthorne Beyer Ecology Analysis, sampling, animal movements, kernel, raster, table, vector editing, specialist and other tools.Freeware
Fragstatsyes Windows Dr. Kevin McGarigal - University of MassachusettsLandscape metrics for categorical map patternsArea, density, edge metrics. Shape metrics (Fractal dimension index) and much more.Visual C++Freeware
Patch Analystyes Windows Rob Rempel - Centre for Northern Forest Ecosystems ResearchPatch metrics for categorical map patternsMean patch size, Number of patches, Indices of patchiness, edge metrics, and much more.Visual C++Freeware
SAGAyes Windows, Linux Institute of Geography at the University of Hamburg, GermanyGIS, AnalysisGrid 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, CanadaGIS and remote sensing packageGIS analysis, hydrological tools, image processing tools, LiDAR tools, statistical analysis, stream network analysis, terrain analysis .NET framework 3.5 GPL
ILWIS Open yes Windows 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 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 LabsGIS, Image Processing, Spatial ModellingA 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.DelphiProprietary
BiodiverseYes Linux, Windows, Unix, macOS Shawn Laffan Biogeography, Biodiversity, EnvironmentalBiodiverse 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 Remote Sensing, Image Processing, Spatial Modelling, GISERDAS 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
TerraLensNo Linux, Windows, Unix, MacOS, Android, Windows Phone 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 & AnalysisNoWeb-basedMarketing Systems GroupSpatial analysis and data visualization for an array of business and government sectorsLeverage 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

  1. "Free and Open Source Software for Geospatial Information Systems - GeoNetwork Opensource". docs.geonetwork-opensource.org. Retrieved 2025-11-15.
  2. Coetzee, Serena; Ivánová, Ivana; Mitasova, Helena; Brovelli, Maria (2020-02-01). "Open Geospatial Software and Data: A Review of the Current State and A Perspective into the Future". ISPRS International Journal of Geo-Information. 9 (2): 90. Bibcode:2020IJGI....9...90C. doi: 10.3390/ijgi9020090 . ISSN   2220-9964.