Open Geospatial Analytics with PySAL

被引：27

作者：

Rey, Sergio J. ^{[1
]}

Anselin, Luc ^{[1
]}

Li, Xun ^{[1
]}

Pahle, Robert ^{[1
]}

Laura, Jason ^{[1
]}

Li, Wenwen ^{[1
]}

Koschinsky, Julia ^{[1
]}

机构：

[1] Arizona State Univ, Sch Geog Sci & Urban Planning, GeoDa Ctr Geospatial Anal & Computat, Tempe, AZ 85287 USA

来源：

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION | 2015年 / 4卷 / 02期

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

spatial analysis; spatial econometrics; spatial decision support systems; cyberGIS; open source software; high performance computing;

D O I：

10.3390/ijgi4020815

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：815 / 836

页数：22

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