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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.

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Space-Time Moran's I Statistic

Taksonoomiline meetodikirje · regression-model / spatial-analysis

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

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Taxonomic bucketLocal Indicators of Spatial Associationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLocal Moran's Imachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMoran's Imachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpace-Time Getis-Ord Gi*machine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpace-Time Spatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.