Open geospatial analytics with PySAL

Sergio J. Rey, Luc Anselin, Xun Li, Robert Pahle, Jason Laura, WenWen Li, Julia Koschinsky

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)815-836
Number of pages22
JournalISPRS International Journal of Geo-Information
Volume4
Issue number2
DOIs
StatePublished - Jun 1 2015

Keywords

  • CyberGIS
  • High performance computing
  • Open source software
  • Spatial analysis
  • Spatial decision support systems
  • Spatial econometrics

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Computers in Earth Sciences
  • Geography, Planning and Development

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