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A new class of spatial concentration measures

Authors :
Arbia, Giuseppe
Piras, Gianfranco
Source :
Computational Statistics & Data Analysis. Oct2009, Vol. 53 Issue 12, p4471-4481. 11p.
Publication Year :
2009

Abstract

Abstract: In this paper we propose a new class of spatial concentration measures to verify hypotheses on the spatial concentration of empirical phenomena. Our proposed measures incorporate the ideas of both a-spatial concentration and spatial autocorrelation. We discuss many issues related to the approximate sampling theory and we suggest a Monte Carlo test for the presence of significant spatial concentration. A simulation experiment studying the relationship of the new measure to different spatial patterns and to different levels of a-spatial variability is also reported. A discussion related to irregular space is included. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01679473
Volume :
53
Issue :
12
Database :
Academic Search Index
Journal :
Computational Statistics & Data Analysis
Publication Type :
Periodical
Accession number :
44100322
Full Text :
https://doi.org/10.1016/j.csda.2009.07.003