Journal
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Volume 4, Issue 2, Pages 815-836Publisher
MDPI
DOI: 10.3390/ijgi4020815
Keywords
spatial analysis; spatial econometrics; spatial decision support systems; cyberGIS; open source software; high performance computing
Funding
- National Science Foundation (NSF SI2-SSI: CyberGIS Software Integration for Sustained Geospatial Innovation
- New Approaches for Spatial Distribution Dynamics) [NSF SES-1421935]
- National Institutes of Health (Geospatial Factors and Impacts II) [2-R01CA126858]
- National Institute of Justice, Office of Justice Programs, U.S. Department of Justice [2009-SQ-B9-K101]
- Environmental Systems Research Institute (ESRI)
- Divn Of Social and Economic Sciences
- Direct For Social, Behav & Economic Scie [1421935] Funding Source: National Science Foundation
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
