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 language | English (US) |
|---|---|
| Pages (from-to) | 815-836 |
| Number of pages | 22 |
| Journal | ISPRS International Journal of Geo-Information |
| Volume | 4 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 2015 |
Keywords
- CyberGIS
- High performance computing
- Open source software
- Spatial analysis
- Spatial decision support systems
- Spatial econometrics
ASJC Scopus subject areas
- Geography, Planning and Development
- Computers in Earth Sciences
- Earth and Planetary Sciences (miscellaneous)
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