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
• Sponsoring Agency: National Institute of Justice (NIJ)
• Publication Format: Article
• Publication Type: Research (Applied/Empirical)
• Language: English
• Country: United States of America
• Note: Appears in ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 4(2), 815–836

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)