On behalf of the PySAL development team, I'm happy to announce the
official release of PySAL 1.6.
PySAL is a library of tools for spatial data analysis and
geocomputation written in Python. PySAL 1.6, the seventh official
release of PySAL brings the following key enhancements:
### Spatial weights (weights)
* Optimized contiguity builder
* Explicit checks for disconnected observations (islands)
* Lightweight sparse weights class
* Handle coincident points in construction of distance based weights
* Optimized construction of knn weights
### Spatial regression (spreg)
* Chow test on spatial autoregressive coefficient in error, lag and combination regime models
* Kernel based weights specialized for HAC estimators
* Group-wise heteroskedasticity correction for OLS models with regimes
* Optimal GMM estimator to account for heteroskedasticity in TSLS models with regimes
### Spatial inequality (inequality)
* Spatial decomposition of the Gini coefficient
### Computational geometry (cg)
* Robust segment intersection tests
among the 246 commits and bug fixes since the last release, 6 months ago.
In addition, 1.6 marks the first release since PySAL moved from Google Code to GitHub
## PySAL modules
* pysal.core — Core Data Structures and IO
* 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
## Downloads
Source distributions are available at
PySAL can also be installed with pip or easy_install.
## Documentation
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
WARRANTIES.
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
http://geoplan.asu.edu/rey
Editor, International Regional Science Review
http://irx.sagepub.com