You are currently viewing an archived version of Topic Local Measures of Spatial Association.
If updates or revisions have been published you can find them at Local Measures of Spatial Association.
Learning Objectives:
Describe the effect of non-stationarity on local indices of spatial association
Decompose Moran’s I and Geary’s c into local measures of spatial association
Compute the Gi and Gi* statistics
Explain how geographically weighted regression provides a local measure of spatial association
Explain how a weights matrix can be used to convert any classical statistic into a local measure of spatial association
Compare and contrast global and local statistics and their uses
You are currently viewing an archived version of Topic Local Measures of Spatial Association. If updates or revisions have been published you can find them at Local Measures of Spatial Association.
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