Rank Tests for Spatial Correlation

A K Sen and S Sööt
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A K Sen: College of Urban Sciences, University of Illinois at Chicago Circle, Chicago, Illinois 60680, USA
S Sööt: Department of Geography, University of Illinois at Chicago Circle, Chicago, Illinois 60680, USA

Environment and Planning A, 1977, vol. 9, issue 8, 897-903

Abstract: If spatial data do not have an underlying normal distribution, the traditional tests for spatial correlation may lead to erroneous conclusions. This is illustrated by means of an example. A class of tests based on the ranks of the observations is proposed and the large sample normality of each test is established. A theorem providing the basis for locally most powerful tests is also presented.

Date: 1977
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:9:y:1977:i:8:p:897-903

DOI: 10.1068/a090897

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