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

By Sang-Il Lee. Journal of Geographical Systems, 2001

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The Colocation Quotient: A New Measure of Spatial Association Between Categorical Subsets of Points. 协同区位商：点集分类子集间空间关联性的新度量标准 (2011, background): “Which types of businesses locate near one another? Do establishments colocate near establishments in their own sector or in different sectors? While this topic is addressed at the intrasectoral level (no same-category associations) in Leslie and ÓhUallacháin (2006), the addition of same-category ass”
Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture (2015, methodology): “Lee’s index [19] offers an approach to calculate bivariate spatial association reconciliating Pearson’s r statistic as a spatial measure of bivariate association and Moran’s I [20] as a univariate measure of spatial association.”
Spatial ordination of vegetation data using a generalization of Wartenberg's multivariate spatial correlation (2008, methodology): “Next, the principles of a new spatial multivariate analysis are given and the method is illustrated on a real data set.”