Method evidence record
Panel Local Indicators of Spatial Association
Panel Local Indicators of Spatial Association extends Anselin's LISA statistics — most commonly Local Moran's I — to panel datasets, identifying spatial clusters and outliers at each location across multiple time periods. By applying local autocorrelation measures repeatedly over time, researchers can detect whether spatial concentration patterns emerge, persist, or dissolve, giving a richer spatiotemporal picture than a single cross-section allows.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
Recorded
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
Panel Local Indicators of Spatial Association
Taxonomic method recordregression-modelspatial-analysis
Open full method2 recorded citations, copied from the method source record.
Curated claims
Assessed
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
Suggested4
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- Taxonomic bucketLocal Indicators of Spatial Association
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketLocal Moran's I
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketPanel Spatial Autocorrelation
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketSpace-Time Local Indicators of Spatial Association
machine-suggestedRelational suggestion, not evidence.