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“The Problem of Spatial Autocorrelation” and Local Spatial Statistics
Author(s) -
Fotheringham A. Stewart
Publication year - 2009
Publication title -
geographical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 65
eISSN - 1538-4632
pISSN - 0016-7363
DOI - 10.1111/j.1538-4632.2009.00767.x
Subject(s) - spatial analysis , spatial dependence , geostatistics , autocorrelation , statistics , spatial econometrics , spatial variability , dependency (uml) , econometrics , property (philosophy) , spatial ecology , geography , computer science , mathematics , artificial intelligence , ecology , philosophy , epistemology , biology
This article examines the relationship between spatial dependency and spatial heterogeneity, two properties unique to spatial data. The property of spatial dependence has led to a large body of research into spatial autocorrelation and also, largely independently, into geostatistics. The property of spatial heterogeneity has led to a growing awareness of the limitation of global statistics and the value of local statistics and local statistical models. The article concludes with a discussion of how the two properties can be accommodated within the same modelling framework.