Space-Time Moran's I
Space-Time Moran's I extends the classic Moran's I statistic into the spatiotemporal domain, measuring whether observations that are close in both space and time tend to be more similar than those that are distant. It detects clustering, dispersion, or randomness across a combined space-time weight matrix, making it a foundational tool in epidemiology, criminology, and environmental monitoring.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Cliff, A. D., & Ord, J. K. (1981). Spatial Processes: Models and Applications. Pion. · ISBN 978-0850860818
- Kulldorff, M., & Nagarwalla, N. (1997). Spatial disease clusters: detection and inference. Statistics in Medicine, 14(8), 799–810. · DOI 10.1002/sim.4780140809
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
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.