Open Geospatial Analytics with PySAL

• NCJ Number: 305820
• Author(s): Sergio J. Rey ; Luc Anselin; Xun Li ; Robert Pahle ; Jason Laura ; Wenwen Li ; Julia Koschinsky
• Date Published: 2015
• Length: 22 pages
• Grant Number(s): 2009-SQ-B9-K101
• Agencies: NIJ-Sponsored
• Publication Type: Research (Applied/Empirical)
• Award: Flexible Geospatial Visual Analytics and Simulation Technologies to Enhance Criminal Justice Decision Support Systems

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)