[SciPy-User] ANN: PySAL 1.4

Serge Rey srey@asu....
Wed Aug 1 09:55:10 CDT 2012

On behalf of the PySAL development team, I'm happy to announce the
official release of PySAL 1.4.

PySAL is a library of tools for spatial data analysis and
geocomputation written in Python. PySAL 1.4, the fifth official
release of PySAL brings the following key enhancements:

   -  spatial regression (spreg):
        - Integration of scipy.sparse structures in all the regression classes
        - Probit
        - Probit with diagnostics for spatial effects

  -  exploratory spatial data analysis (esda):
        - Generalized Gamma statistics for spatial autocorrelation

  -  spatial dynamics (spatial_dynamics):
        - O(n log n) algorithm for spatial tau (spatial rank correlation)
        - LISA Markov transitions and tests for spatial dynamics

  - computational geometry (cg) and spatial networks
        - efficient point to nearest LineSegment search
        - generate network topology from shapefiles
        - utilities for interfacing with networkx
        - integration of network cluster code (beta)

among the 155 commits and bug fixes since the last release, 6 months ago.

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 and feature requests
To search for or report bugs, as well as request enhancements, 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
GeoDa Center for Geospatial Analysis and Computation
Arizona State University

Editor, International Regional Science Review

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