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

Fingerprint

workflow
Graphical user interfaces
Middleware
user interface
spatial analysis
Interoperability
provenance
software
management
library
decision
code

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

Cite this

Rey, S. J., Anselin, L., Li, X., Pahle, R., Laura, J., Li, W., & Koschinsky, J. (2015). Open geospatial analytics with PySAL. ISPRS International Journal of Geo-Information, 4(2), 815-836. https://doi.org/10.3390/ijgi4020815

Open geospatial analytics with PySAL. / Rey, Sergio J.; Anselin, Luc; Li, Xun; Pahle, Robert; Laura, Jason; Li, WenWen; Koschinsky, Julia.

In: ISPRS International Journal of Geo-Information, Vol. 4, No. 2, 01.06.2015, p. 815-836.

Research output: Contribution to journalArticle

Rey, SJ, Anselin, L, Li, X, Pahle, R, Laura, J, Li, W & Koschinsky, J 2015, 'Open geospatial analytics with PySAL', ISPRS International Journal of Geo-Information, vol. 4, no. 2, pp. 815-836. https://doi.org/10.3390/ijgi4020815
Rey, Sergio J. ; Anselin, Luc ; Li, Xun ; Pahle, Robert ; Laura, Jason ; Li, WenWen ; Koschinsky, Julia. / Open geospatial analytics with PySAL. In: ISPRS International Journal of Geo-Information. 2015 ; Vol. 4, No. 2. pp. 815-836.
@article{b1df43e97cb142209ae9552879d0b6bf,
title = "Open geospatial analytics with PySAL",
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.",
keywords = "CyberGIS, High performance computing, Open source software, Spatial analysis, Spatial decision support systems, Spatial econometrics",
author = "Rey, {Sergio J.} and Luc Anselin and Xun Li and Robert Pahle and Jason Laura and WenWen Li and Julia Koschinsky",
year = "2015",
month = "6",
day = "1",
doi = "10.3390/ijgi4020815",
language = "English (US)",
volume = "4",
pages = "815--836",
journal = "ISPRS International Journal of Geo-Information",
issn = "2220-9964",
publisher = "MDPI AG",
number = "2",

}

TY - JOUR

T1 - Open geospatial analytics with PySAL

AU - Rey, Sergio J.

AU - Anselin, Luc

AU - Li, Xun

AU - Pahle, Robert

AU - Laura, Jason

AU - Li, WenWen

AU - Koschinsky, Julia

PY - 2015/6/1

Y1 - 2015/6/1

N2 - 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.

AB - 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.

KW - CyberGIS

KW - High performance computing

KW - Open source software

KW - Spatial analysis

KW - Spatial decision support systems

KW - Spatial econometrics

UR - http://www.scopus.com/inward/record.url?scp=84948964546&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84948964546&partnerID=8YFLogxK

U2 - 10.3390/ijgi4020815

DO - 10.3390/ijgi4020815

M3 - Article

AN - SCOPUS:84948964546

VL - 4

SP - 815

EP - 836

JO - ISPRS International Journal of Geo-Information

JF - ISPRS International Journal of Geo-Information

SN - 2220-9964

IS - 2

ER -