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Activity Number: 490
Type: Invited
Date/Time: Thursday, August 10, 2006 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Graphics
Abstract - #305056
Title: Exploring Spatial Data with openGeoDa and PySAL
Author(s): Luc Anselin*+ and Sergio J. Rey
Companies: University of Illinois and San Diego State University
Address: , Urbana, IL, 61801,
Keywords: spatial analysis ; ESDA ; spatial econometrics ; GIS ; geovisualization ; open source software
Abstract:

This paper presents two open-source software tools to visualize and explore spatial data and carry out spatial econometric analysis. openGeoDa is the cross-platform, open-source successor to the GeoDa package, written in C++, and primarily aimed at data exploration. PySAL is a library of modules for spatial data analysis written in Python. It is intended to provide a comprehensive and flexible toolbox for a range of spatial data analyses, including visualization, rate smoothing, clustering, space-time exploration, and spatial regression. The library can be combined with different graphical front ends, such as STARS (using tK) and PySpace (using wxPython). We review the different architectures of the two approaches and their respective strengths and weaknesses and provide illustrative examples.

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