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Open Geospatial Analytics with PySAL

NCJ Number
Sergio J. Rey ; Luc Anselin; Xun Li ; Robert Pahle ; Jason Laura ; Wenwen Li ; Julia Koschinsky
Date Published
22 pages

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. (Publisher abstract provided)