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PySAL: A Python Library for Exploratory Spatial Data Analysis and Geocomputation
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enthought
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scipy_2012
--room Ballroom_CDE 1171 --force
Next: 11 QNDArray: A Numpy Clone for C++/Qt
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Author(s):
Sergio Rey
Location
Ballroom (CDE)
Date
jul Wed 18
Days Raw Files
Start
11:05
First Raw Start
10:47
Duration
20:00
Offset
0:17:03
End
11:25
Last Raw End
11:26
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00:00
Total cuts_time
19 min.
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PySAL_A_Python_Library_for_Exploratory_Spatial_Data_Analysis_and_Geocomputation.json
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This talk presents an overview and update of PySAL. PySAL is designed to support the development of high level applications in exploratory spatial data analysis and geocomputation. The library includes a comprehensive suite of modules that cover the entire spatial data analysis research stack from geospatial data processing and integration, to exploratory spatial data analysis, spatial dynamics, regionalization, and spatial econometrics. A selection of these modules are illustrated drawing on research in spatial criminology, epidemiology and urban inequality dynamics. A number of geovisualization packages that have been implemented using PySAL as an analytical core are also demonstrated. Future plans for additional modules and enhancements are also discussed.
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2012-07-18/08_47_57.dv
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