[ANN] PySAL 1.2

Serge Rey sjsrey at gmail.com
Sun Jul 31 23:26:35 EDT 2011

On behalf of the PySAL development team, I'm happy to announce the
official release of PySAL 1.2.

PySAL is a library of tools for spatial data analysis and
geocomputation written in Python. PySAL 1.2, the third official
release of PySAL, brings a number of new features:

    - Directional (Space-Time) LISA Analytics
    - LISA Markov Spillover Test
    - Spatial Markov Homogeneity Tests
    - Markov Mobillity Indices
    - Support for a wide variety of spatial weights formats including
        - AcGIS SWM, Text, DBF
        - STATA
        - MATLAB MAT
        - MatrixMarket MTX
        - Lotus WK1
        - DAT
        - and others
    - RTree spatial index
    - Getis-Ord G statistics for global and local autocorrelation
    - Optimized conditional randomization for local statistics
    - Optimized Block/Regime Spatial Weights
    - Thin Spatial Sparse Weights Class (WSP)

along with many smaller enhancements and bug fixes.

PySAL modules

    - pysal.core — Core Data Structures and IO
    - pysal.cg — Computational Geometry
    - pysal.esda — Exploratory Spatial Data Analysis
    - pysal.inequality — Spatial Inequality Analysis
    - pysal.spatial_dynamics — Spatial Dynamics
    - pysal.spreg - Regression and Diagnostics
    - pysal.region — Spatially Constrained Clustering
    - pysal.weights — Spatial Weights
    - pysal.FileIO — PySAL FileIO: Module for reading and writing
various file types in a Pythonic way

Binary installers and source distributions are available for download at

The documentation site is here 

Web sites
PySAL's home is here 

The developer's site is here 

Mailing Lists
Please see the developer's list here 

Help for users is here 

Bug reports
To search for or report bugs, please see

License information
See the file "LICENSE.txt" for information on the history of this
software, terms & conditions for usage, and a DISCLAIMER OF ALL

Many thanks to all who contributed!

Serge, on behalf of the PySAL development team.

Sergio (Serge) Rey
Professor, School of Geographical Sciences and Urban Planning
Arizona State University

Editor, International Regional Science Review

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