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
收藏
页码：815 / 836
页数：22
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