Continued from Part I (A-F) yesterday. 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.
The Geographical Analysis Machine (GAM) is an attempt at automated exploratory spatial data analysis of point or small area data that is easy to understand. The purpose is to answer a simple practical question; where are clusters in geographical data? Please note it is an exploratory analysis and does not prove existence – clusters may, for example, be down to pockets of poor data or, very unusually, be due to just the random scattering of occurrences.
GeoBUGS has been developed by a team at the Department of Epidemiology and Public Health of Imperial College at St Mary’s Hospital London. It is an add-on to WinBUGS that fits spatial models and produces a range of maps as output.
Luc Anselin’s group at Arizona State University; hosts a number of geospatial analysis programs and web apps, including
- Several versions of GeoDA (old Windows version, and newer multi-platform version (GeoDaSpace and GeoDaNet).
- PySAL, a cross-platform library of spatial analysis functions written in Python.
- A Web-Based Tool for Spatial Data Analysis (incl. weights conversion & transformation, spatial lag, smoothing, LISAs)
- Java tools for spatial analysis: EB & SR smoothing, excess risk maps, global Moran scatterplot and spatial reference distribution
And more, including lots of documentation and links.
GeoVISTA Studio is an open software development environment designed for geospatial data.Studio is a programming-free environment that allows users to quickly build applications for geocomputation and geographic visualization.
GRNN are a class of neural networks widely used for the continuous function mapping. They are based on a well known nonparametric (kernel) statistical estimators. An important advantage of the GRNN is that training is very fast.
GSLIB is an acronym for Geostatistical Software LIBrary. This name was originally used for a collection of geostatistical programs developed at Stanford University over the last 15 years.
The software GUIDOS (Graphical User Interface for the Description of image Objects and their Shapes) can be used to perform a Morphological Spatial Pattern Analysis (MSPA) on raster image data. MSPA conducts a segmentation of the image foreground data into mutual exclusive feature classes.
A spatial modeling framework for scientific analyses. Additional to fundamental GIS functions, many unique libraries such as Network, Fractal, 3D, Simulatoin and LP Solver have also been supported as built-in functions to facilitate scientific modeling.
PAST is a free, easy-to-use data analysis package originally aimed at paleontology but now also popular in many other fields. It includes common statistical, plotting and modelling functions.
PASSaGE is a free, integrated, easy-to-use software package for performing spatial analysis and statistics on biological and other data.