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Developing a bivariate spatial association measure: an integration of Pearson's r and Moran's I

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Authors
Lee, Sang-Il
Issue Date
2001-12
Publisher
Springer Verlag
Citation
Journal of Geographical Systems 3: 369-385
Keywords
Spatial association; spatial correlation; Moran's I; spatial smoothing; SDA
Abstract
This research is concerned with developing a bivariate spatial association measure or spatial correlation coefficient, which is intended to capture spatial association among observations in terms of their point-to-point relationships across two spatial patterns. The need for parameterization of the bivariate spatial dependence is precipitated by the realization that aspatial bivariate association measures, such as Pearson's correlation coefficient, do not recognize spatial distributional aspects of data sets. This study devises an L statistic by integrating Pearson's r as an aspatial bivariate association measure and Moran's I as a univariate spatial association measure. The concept of a spatial smoothing scalar (SSS) plays a pivotal role in this task.
ISSN
1435-5930 (print)1435-5949 (online)
Language
English
URI
http://hdl.handle.net/10371/4719
DOI
https://doi.org/10.1007/s101090100064
https://doi.org/10.1007/s101090100064
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College of Education (사범대학)Dept. of Social Studies Education (사회교육과)Geography (지리전공)Journal Papers (저널논문_지리전공)
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