2026-05-21T08:09:46Zhttps://keep.lib.asu.edu/oai/requestoai:keep.lib.asu.edu:node-1303752021-08-16T19:23:30Zoai_pmh:alloai_pmh:repo_items130375
https://hdl.handle.net/2286/R.I.35714
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
10.3390/ijgi4020815
2220-9964
http://rightsstatements.org/vocab/InC/1.0/
http://creativecommons.org/licenses/by/4.0
2015-06-01
22 pages
eng
Rey, Sergio
Anselin, Luc
Li, Xun
Pahle, Robert
Laura, Jason
Li, Wenwen
Koschinsky, Julia
College of Liberal Arts and Sciences
School of Geographical Sciences and Urban Planning
Computational Spatial Science
Text
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.
Open Geospatial Analytics with PySAL