NCJ Number
305820
Date Published
2015
Length
22 pages
Annotation
This article reviews the range of delivery platforms that have been developed for the PySAL open-source Python library for spatial analysis.
Abstract
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. (Publisher abstract provided)
Date Published: January 1, 2015
Downloads
Similar Publications
- Two-Stage Approach for the Inference of the Source of High-Dimension and Complex Chemical Data in Forensic Science
- Student Violence Against Teachers in Large U.S. School Districts: Prevalence and Risk Factors, Final Report
- Targeting youth at risk for gang involvement: Validation of a gang risk assessment to support individualized secondary prevention