Regression model

LISA — Local Indicators of Spatial Association (Local Moran's I)

LISA, introduced by Luc Anselin in 1995, is a local statistic that computes spatial autocorrelation separately for every observation rather than for the map as a whole. It pinpoints where high or low values cluster and where spatial outliers sit, decomposing the global Moran's I into a contribution from each location.

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Sources

  1. Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI: 10.1111/j.1538-4632.1995.tb00338.x

Related methods

Referenced by

ScholarGateLISA (Local Indicators of Spatial Association (Local Moran's I)). Retrieved 2026-06-04 from https://scholargate.app/tr/spatial-analysis/lisa-analysis