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Analiza prostorno-vremenskih žarišnih točaka×Prostorno-vremenski Moranov I×
PodručjeProstorna analizaProstorna analiza
ObiteljRegression modelRegression model
Godina nastanka1997–20151981
TvoracKulldorff (spatial scan statistic); operationalized for time-series bins by Esri (Emerging Hot Spot Analysis)Cliff & Ord (extended to space-time domain)
VrstaSpatiotemporal cluster detectionSpatial autocorrelation statistic
Temeljni izvorKulldorff, M. (1997). A spatial scan statistic. Communications in Statistics: Theory and Methods, 26(6), 1481–1496. DOI ↗Cliff, A. D., & Ord, J. K. (1981). Spatial Processes: Models and Applications. Pion. ISBN: 978-0850860818
Drugi naziviemerging hot spot analysis, space-time cube hot spot, spatiotemporal hot spot detection, STHAspace-time autocorrelation index, ST Moran's I, spatiotemporal Moran's I, space-time I statistic
Srodne55
SažetakSpace-Time Hot Spot Analysis extends the classic Getis-Ord Gi* statistic across repeated time slices organised in a space-time cube. By testing each location-time bin for statistically significant clustering of high or low values, then examining the sequence of results over time, it identifies whether clusters are new, intensifying, persistent, sporadic, or diminishing — giving analysts a dynamic picture of how hot and cold spots evolve.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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ScholarGateUsporedite metode: Space-Time Hot Spot Analysis · Space-Time Moran's I. Preuzeto 2026-06-19 s https://scholargate.app/hr/compare