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This article reviews the range of delivery platforms that have been developed for the PySAL open source Python library for spatial analysis. This includes traditional desktop software (with a graphical user interface, command line or embedded in a computational notebook),…

This article reviews the range of delivery platforms that have been developed for the PySAL open source Python library for spatial analysis. This includes traditional desktop software (with a graphical user interface, command line or embedded in a computational notebook), open spatial analytics middleware, and web, cloud and distributed open geospatial analytics for decision support. A common thread throughout the discussion is the emphasis on openness, interoperability, and provenance management in a scientific workflow. The code base of the PySAL library provides the common computing framework underlying all delivery mechanisms.
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    Title
    • Open Geospatial Analytics with PySAL
    Contributors
    Date Created
    2015-06-01
    Resource Type
  • Text
    • Collections this item is in
    ASU Regents' Professors Open Access Works
    Identifier
    • Digital object identifier: 10.3390/ijgi4020815
    • International standard serial number
      2220-9964

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    Rey, Sergio J., Anselin, Luc, Li, Xun, Pahle, Robert, Laura, Jason, Li, Wenwen, & Koschinsky, Julia (2015). Open Geospatial Analytics with PySAL. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 4(2), 815-836. http://dx.doi.org/10.3390/ijgi4020815

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