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Rank Tests for Spatial Correlation

Author

Listed:
  • 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)

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.

Suggested Citation

  • A K Sen & S Sööt, 1977. "Rank Tests for Spatial Correlation," Environment and Planning A, , vol. 9(8), pages 897-903, August.
    • Handle: RePEc:sae:envira:v:9:y:1977:i:8:p:897-903
    DOI: 10.1068/a090897
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