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Robust Spatial Autocorrelation/Evidence
Method evidence record

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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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Robust Spatial Autocorrelation Analysis
Taxonomic method record · 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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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

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.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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