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Open Source Software for Spatial Data Science

delete2022-06-28
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OA
AI
L
Luc Anselin
S
Sergio J. Rey *
DOI:10.1111/gean.12339delete
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Abstract

Abstract

En 中文
Much progress has been made in the development of software tools for spatial analysis since the special issue of Geographical Analysis appeared in 2006, devoted to Recent advances in software for spatial analysis in the social sciences (Rey and Anselin 2006). The 15 some years since the publication of the issue have been marked by major changes in the spatial analytical software landscape. Arguably, three important and somewhat related phenomena can be distinguished that drove these changes: the embedding of spatial analysis into spatial data science; the growing recognition of open science/open source principles in empirical work; and the increasing adoption of a literate programming perspective.

Journal

Geographical Analysis cover
Geographical Analysis
IF:
4.3
Papers:
711
Citations:
4.7K

Organization

U
university of chicago
Scholars:
4.5W
Papers: 3.7W
Citations: 80
University of California System cover
University of California System
Scholars:
37.7W
Papers: 33.8W
Citations: 6.6K
Cited Papers

Cited Papers

Reproducibility and Replicability in Geographical Analysis
err2019-08-29
err70
PREAI
errKedron, Peter; Frazier, Amy E.; Trgovac, Andrew B.; Nelson, Trisalyn; Fotheringham, A. Stewart
errShare
errSave
Spatial Variation in the Quality of American Community Survey Estimates
err2016-08-19
err102
errOAAI
errFolch, David C.; Arribas-Bel, Daniel; Koschinsky, Julia; Spielman, Seth E.
errShare
errSave
Geographic Data Science
err2019-04-04
err69
errOAAI
errSingleton, Alex; Arribas-Bel, Daniel
errShare
errSave
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