The R Project for Statistical Computing 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. For more information, see the latest press release below. PySAL 1.7 press release PySAL 1.5 press release PySAL 1.4 press release PySAL 1.2 press release PySAL 1.1 press release PySAL 1.0 press release User Feedback Download PySAL
More adventures in overlay: point in polygon Counting the number of points in a polygon is a common overlay operation. But unless you’re aware of what happens when points fall on polygon boundaries, or when points fall just outside the coverage of your polygons, you may not be getting the results you expect. Here’s the scenario: I have polygons representing some administrative districts.And I have some points representing households. Each household has an attribute HHSize which is the number of people in the household.I want to count the number of households and the total size of the household in each polygon. The map to the left shows the household points with graduated symbols based on HHSIZE. There are lots of ways to perform the overlay to get the number of households and the sum of household size. Now let’s go back to the Households table and get some statistics. Huh? Finding boundary points To find boundary points, use the Select By Location tool found in the Selection menu of ArcMap. Finding points outside Near Summary Statistics
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.
Statistical Standards and Guidelines | FCSM Skip to page content Statistical Standards and Guidelines The Statistical and Science Policy Branch in the Office of Information and Regulatory Affairs (OIRA) at the Office of Management and Budget (OMB) issues government-wide standards and guidelines to ensure comparability of Federal statistics. OIRA issues guidance on information policy, the Privacy Act, and Federal information collection. Government-wide Standards and Guidelines Agency Standards and Guidelines Other Resources [PDF] indicates a document is in Portable Document Format. Contact Us Send comments, feedback, ...
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