Python Library for Spatial Analytical Functions: Unterschied zwischen den Versionen
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A Python Library for Spatial Analytical Functions | A Python Library for Spatial Analytical Functions | ||
| − | PySAL is a collaborative effort between Luc Anselin's research group at UIUC and Sergio Rey's research group at SDSU to develop a cross-platform library of spatial analysis functions written in [[Python]]. This combines the development efforts on PySpace and [ | + | PySAL is a collaborative effort between Luc Anselin's research group at UIUC and Sergio Rey's research group at SDSU to develop a cross-platform library of spatial analysis functions written in [[Python]]. This combines the development efforts on PySpace and [[STARS]] - [[Space-Time Analysis of Regional Systems]]. Both will continue to exist and exploit a common library of functions. |
PySpace is an open source software development effort that is part of PySAL to implement spatial statistical methods in general and spatial regression analysis in particular using Python and [http://sourceforge.net/projects/numpy/ Numerical Python]. Current activities focus on a set of classes and methods to carry out diagnostics for spatial correlation in linear regression models and to estimate spatial lag and spatial error specifications. | PySpace is an open source software development effort that is part of PySAL to implement spatial statistical methods in general and spatial regression analysis in particular using Python and [http://sourceforge.net/projects/numpy/ Numerical Python]. Current activities focus on a set of classes and methods to carry out diagnostics for spatial correlation in linear regression models and to estimate spatial lag and spatial error specifications. | ||
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[[Kategorie:Statistik]] | [[Kategorie:Statistik]] | ||
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Aktuelle Version vom 21. November 2006, 12:26 Uhr
A Python Library for Spatial Analytical Functions
PySAL is a collaborative effort between Luc Anselin's research group at UIUC and Sergio Rey's research group at SDSU to develop a cross-platform library of spatial analysis functions written in Python. This combines the development efforts on PySpace and STARS - Space-Time Analysis of Regional Systems. Both will continue to exist and exploit a common library of functions.
PySpace is an open source software development effort that is part of PySAL to implement spatial statistical methods in general and spatial regression analysis in particular using Python and Numerical Python. Current activities focus on a set of classes and methods to carry out diagnostics for spatial correlation in linear regression models and to estimate spatial lag and spatial error specifications.
Weblinks
Presentations
- Luc Anselin and Sergio Rey (March 2005).PySAL: A Python Library for Spatial Analytical Functions (pdf 32 slides, 2Mb). Annual Conference of the Association of American Geographers 2005, Denver, CO.
- Luc Anselin and Julie Le Gallo (March 2004).Panel Data Spatial Econometrics with PySpace (pdf 29 slides, 1Mb). Annual Conference of the Association of American Geographers 2004, Philadelphia, PA.
