OpenGeoDa. CrimeStat Spatial Statistics Program - Version 3.0. SaTScan. SAGA.Matlab. Kirill K. Pankratov SaGA is a collection of MATLAB programs dealing with various aspects of geometrical modeling and spatial data analysis. Before proceeding further you are invited to a short tour of the gallery of pictures easily produced with SaGA routines. By the way here is the m-file sagawcm.m which produces the above header picture. This is is the Readme file with brief information describing the SaGA package. Here you can get straight to the SAGA directory where all the programs are stored. To see a list of functions contained in the SaGA Toolbox go to the Contents file. One can transfer the archives containing most of the SaGA toolbox from SAGA_Z directory. The structure and function interdependence of the SaGA toolbox is detailed in the Flowchart.
See License file for registration information. The Whatsnew file will contains information about updates and further development of the SaGA Toolbox. And here one can find answers to some Frequently Asked Questions about SaGA. Gstat home page. STARS@REGAL. PySAL. ASU’s GeoDa Center for GeoSpatial Analysis and Computation, a research unit closely affiliated with the School of Geographical Sciences and Urban Planning, develops PySAL, an open source library of computational tools for spatial analysis. PySAL grew out of a collaborative effort spearheaded by Professor Sergio Rey and Luc Anselin, Walter Isard Chair and Director of the School of Geographical Sciences and Urban Planning.
The project integrates two analytical tools, STARS and PySpace, that were developed separately by the two researchers prior to their arrival at ASU. PySAL provides a suite of spatial analytical methods that developers can incorporate into their own application development, and that spatial analysts may customize to further their research. The PySAL tools are programmed in the Python language, which is increasingly used in geographic information systems. For more information, see the latest press release below. PySAL 1.7 press release PySAL 1.5 press release User Feedback.
SAM - Spatial Analysis in Macroecology.