Method evidence record

Bayesian Local Indicators of Spatial Association

Bayesian Local Indicators of Spatial Association extend the classical LISA framework by embedding local spatial association statistics within a Bayesian hierarchical model. Rather than relying on asymptotic permutation-based significance tests, this approach places prior distributions on spatial parameters and derives posterior probabilities that a location is part of a genuine spatial cluster, accounting for uncertainty and borrowing strength across nearby units.

Sources recorded, not reviewed

Source record

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

Taxonomic method record · regression-model / spatial-analysis

Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115. · DOI 10.1111/j.1538-4632.1995.tb00338.x
Banerjee, S., Carlin, B. P., & Gelfand, A. E. (2004). Hierarchical Modeling and Analysis for Spatial Data. Chapman and Hall/CRC. · ISBN 978-1584884101

Open full method

Curated claims

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

No curated claims yet

This view does not invent a claim assessment when the ledger has none.

Related methods

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

Taxonomic bucketBayesian Spatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Geary's Cmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Getis-Ord Gi*machine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Indicators of Spatial Associationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Moran's Imachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.