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PySAL: A Python Library of Spatial Analytical Methods

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Author Info

  • Rey, Sergio J.

    (San Diego State U)

  • Anselin, Luc

    (U IL)

Abstract

PySAL is an open source library for spatial analysis written in the object-oriented language Python. It is built upon shared functionality in two exploratory spatial data analysis packages--GeoDA and STARS--and is intended to leverage the shared development of these components. This paper presents an overview of the motivation behind and the design of PySAL, as well as suggestions for how the library can be used with other software projects. Empirical illustrations of several key components in a variety of spatial analytical problems are given, and plans for future development of PySAL are discussed.

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Bibliographic Info

Article provided by Southern Regional Science Association in its journal Review of Regional Studies.

Volume (Year): 37 (2007)
Issue (Month): 1 ()
Pages: 5-27

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Handle: RePEc:rre:publsh:v:37:y:2007:i:1:p:5-27

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Web page: http://www.srsa.org

Related research

Keywords: Open Source; Software; Spatial;

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Cited by:
  1. Sergio Rey, 2009. "Show me the code: spatial analysis and open source," Journal of Geographical Systems, Springer, vol. 11(2), pages 191-207, June.
  2. Sergio Rey & Alan Murray & Luc Anselin, 2011. "Visualizing regional income distribution dynamics," Letters in Spatial and Resource Sciences, Springer, vol. 4(1), pages 81-90, March.
  3. Pedro Amaral & Luc Anselin & Daniel Arribas-Bel, 2013. "Testing for spatial error dependence in probit models," Letters in Spatial and Resource Sciences, Springer, vol. 6(2), pages 91-101, July.
  4. Alan T. Murray, 2010. "Quantitative Geography," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 143-163.

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