Regression modelGIS / spatial

Multiscale Spatial Autocorrelation

Multiscale spatial autocorrelation extends classical spatial autocorrelation analysis by computing and comparing autocorrelation statistics (such as Moran's I) across a range of spatial scales simultaneously. This reveals at which geographic distances or resolutions spatial clustering or dispersion is strongest, providing a richer picture than a single global measure.

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Sources

  1. Borcard, D., & Legendre, P. (2002). All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices. Ecological Modelling, 153(1-2), 51-68. DOI: 10.1016/S0304-3800(01)00501-4
  2. Csillag, F., & Kabos, S. (2002). Wavelets, boundaries, and the spatial analysis of landscape pattern. Ecoscience, 9(2), 177-190. DOI: 10.1080/11956860.2002.11682703

Related methods

ScholarGateMultiscale Spatial Autocorrelation (Multiscale Spatial Autocorrelation Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/spatial-analysis/multiscale-spatial-autocorrelation