CSISS Select Tools
Below is a list of Spatial Analysis Tools. CSISS researchers
have chosen these tools for their usefulness in aiding the
exploration and analysis of spatial phenomena in the social
sciences. This list is by no means complete and, it is hoped,
will continue to grow with input from the research community.
Inclusion on this list is not an endorsement by CSISS. If
you have comments, have found an error, or would like to nominate
a tool for inclusion please contact Don Janelle.
- ClusterSeer provides statistics for evaluating disease clusters in space and time.
- A spatial statistics program for the analysis of crime incident locations.
- Computation of a wide variety of landscape metrics for categorical map patterns.
- GeoVista Studio Project
- An open software development environment for geospatial data analysis, exploratory spatial data analysis and knowledge discovery.
- Geostatistical software LIBrary written in Fortran.
- Software for geostatistical modelling, prediction and simulation.
- Jim Lesage's Spatial Econometrics Toolbox
- Spatial Econometrics Toolbox for MATLAB. Functions implement both maximum likelihood and Bayesian estimation of a host of spatial econometric models.
- Kelly Pace's Spatial Statistics Toolbox
- Toolbox for MATLAB and SpaceStatPack for Fortran for estimating large-scale lattice models.
- Peter Diggle's Point Pattern Programs
- Programs for S and R to analyze point patterns.
- R Spatial software overview:
- Overview of R software for spatial data handling and analysis
- S+ SpatialStats
- Add on to the S-Plus statistical package to carry out point pattern analysis, geostatistical analysis and spatial regression in an object-oriented framework.
- Geostatistics programs in SAS.
- Splus/R library for spatial statistics
- STARS: Space Time Analysis of Regional Systems
- STARS is an exploratory data analysis package designed for variables measured
on geographical units over time. Version 0.7.2
- Venables and Ripley
- S+ and R code from Modern Applied Statistics with S-PLUS.
- Estimation of models (including spatial models) by means of the Gibbs sampler/Markov Chain Monte Carlo (MCMC) methods.
Select Tools: Luc Anselin
Search Engines: Eric White