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Robust Spatial Autocorrelation

Robust spatial autocorrelation methods measure the degree to which nearby geographic units share similar values, while explicitly controlling for the distorting influence of spatial outliers and extreme observations. They extend classical statistics such as Moran's I by down-weighting or trimming observations that would otherwise inflate or deflate the autocorrelation signal.

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Robust Spatial Autocorrelation Analysis

Taksonoomiline meetodikirje · regression-model / spatial-analysis

Anselin, L., & Florax, R. J. G. M. (1995). Small sample properties of tests for spatial dependence in regression models: some further results. In Anselin, L. & Florax, R. J. G. M. (Eds.), New Directions in Spatial Econometrics. Springer, Berlin. · URL
Cliff, A. D., & Ord, J. K. (1981). Spatial Processes: Models and Applications. Pion, London. · ISBN 0850860814

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Taxonomic bucketGeary's Cmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Indicators of Spatial Associationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Spatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMoran's Imachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.