Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Просторово-часовий аналіз гарячих точок× | Space-Time Moran's I× | |
|---|---|---|
| Галузь | Просторовий аналіз | Просторовий аналіз |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1997–2015 | 1981 |
| Автор методу≠ | Kulldorff (spatial scan statistic); operationalized for time-series bins by Esri (Emerging Hot Spot Analysis) | Cliff & Ord (extended to space-time domain) |
| Тип≠ | Spatiotemporal cluster detection | Spatial autocorrelation statistic |
| Основоположне джерело≠ | Kulldorff, 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 |
| Інші назви | emerging hot spot analysis, space-time cube hot spot, spatiotemporal hot spot detection, STHA | space-time autocorrelation index, ST Moran's I, spatiotemporal Moran's I, space-time I statistic |
| Пов'язані | 5 | 5 |
| Підсумок≠ | Space-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. |
| ScholarGateНабір даних ↗ |
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