Descriptions come from the software’s website or documentation. I’ll probably put biologically-oriented software in a separate series. Click on the program title to go to its website.
Some links for geographically-related R resources and software:
GeoDa link page for geo-R resources
CRAN page – source for stat module binaries
CRAN page on spatial analysis modules for R – Good place to start looking for specific modules.
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The US Department of Justice Criminal Division GIS Staff, in conjunction with the Baltimore county Police department and the RCAS group, has developed a crime analysis system called RCAGIS (Regional Crime Analysis GIS). RCAGIS is an ESRI MapObjects® based system that is designed to facilitate the analysis of crime on a regional basis. RCAGIS also integrates the CrimeStat® spatial statistics software package developed by Ned Levine and Associates under a grant from the National Institute of Justice. The RCAGIS Crime Analysis System was designed specifically to assist in the analysis of crime incident data across jurisdictional boundaries.
Note: Requires ESRI MapObjects to be installed, and no longer under development.
Repast Simphony is a free and open source agent-based modeling toolkit that simplifies model creation and use … including 2D and 3D Geographical Information Systems (GIS) support
SANET is a toolbox for analyzing events that occur on networks or alongside networks e.g., car crashes on roads and beauty parlors in downtown streets, respectively. Networks may be roads, rivers, pipe-lines, cables, etc. The user is supposed to use SANET for academic and educational purposes only.
ArcGIS extension only.
SaTScan™ is a free software that analyzes spatial, temporal and space-time data using the spatial, temporal, or space-time scan statistics. It is designed for any of the following interrelated purposes:
- Perform geographical surveillance of disease, to detect spatial or space-time disease clusters, and to see if they are statistically significant.
- Test whether a disease is randomly distributed over space, over time or over space and time.
- Evaluate the statistical significance of disease cluster alarms.
- Perform repeated time-periodic disease surveillance for early detection of disease outbreaks.
The software may also be used for similar problems in other fields such as archaeology, astronomy, botany, criminology, ecology, economics, engineering, forestry, genetics, geography, geology, history, neurology or zoology.
The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms.
Space-Time Analysis of Regional Systems (STARS) is an open source package designed for the analysis of areal data measured over time. STARS brings together a number of recently developed methods of space-time analysis into a user-friendly graphical environment offering an array of dynamically linked graphical views. It is intended to be used as an exploratory data analysis tool. STARS can also be used from the command line to support more flexible and specialized types of analyses by advanced users. As such STARS should appeal to a wide array of users. Written entirely in Python, STARS is crossplatform and easy to install (and expand).
Note: Alternate homepage link is given on the main page, but it leads to a page informing you that you don’t have Java 1.4.2 installed. Status of this program is unclear.
Spatial Analysis and Decision Assistance (SADA) is free software that incorporates tools from environmental assessment fields into an effective problem solving environment. These tools include integrated modules for visualization, geospatial analysis, statistical analysis, human health risk assessment, ecological risk assessment, cost/benefit analysis, sampling design, and decision analysis
S.A.U. was developed for archaeological intersite studies. However archaeology is not the only discipline that study point distribution maps. This tool will help everybody that has to deal with point pattern analysis.
The Spatiotemporal Epidemiological Modeler (STEM) tool is designed to help scientists and public health officials create and use spatial and temporal models of emerging infectious diseases. These models can aid in understanding and potentially preventing the spread of such diseases.
VESPER is a PC-Windows program developed by the Australian Centre for Precision Agriculture (ACPA) for spatial prediction that is capable of performing kriging with local variograms (Haas, 1990). Kriging with local variograms involves searching for the closest neighbourhood for each prediction site, estimating the variogram from the neighbourhood, fitting a variogram model to the data and predicting the value and its uncertainty. The local variogram is modelled in the program by fitting a variogram model automatically through the nonlinear least-squares method. Several variogram models are available, namely spherical, exponential, Gaussian and linear with sill. Punctual and block kriging is available as interpolation options. This program adapts itself spatially in the presence of distinct differences in local structure over the whole field.
Note: Nudgeware; doesn’t seem to be under development anymore.
The Bonn Archaeological Software Package (BASP) is a non-profit software project for and by archaeologists which has been developed cooperatively since 1973. It now includes more than 70 functions for seriation, clustering, correspondance analysis, and mapping tools for archaeologists working with IBM compatible PC’s under DOS and all versions of Windows.
No longer supported or maintained; authors suggest PAST as an alternative.
