Open Geospatial Analytics with PySAL
AbstractThis 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. View Full-Text
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Rey, S.J.; Anselin, L.; Li, X.; Pahle, R.; Laura, J.; Li, W.; Koschinsky, J. Open Geospatial Analytics with PySAL. ISPRS Int. J. Geo-Inf. 2015, 4, 815-836.
Rey SJ, Anselin L, Li X, Pahle R, Laura J, Li W, Koschinsky J. Open Geospatial Analytics with PySAL. ISPRS International Journal of Geo-Information. 2015; 4(2):815-836.Chicago/Turabian Style
Rey, Sergio J.; Anselin, Luc; Li, Xun; Pahle, Robert; Laura, Jason; Li, Wenwen; Koschinsky, Julia. 2015. "Open Geospatial Analytics with PySAL." ISPRS Int. J. Geo-Inf. 4, no. 2: 815-836.