Сравнение методов

	Анализ пространственно-временных горячих точек	Локальная пространственная автокорреляция
Область	Пространственный анализ	Пространственный анализ
Семейство	Regression model	Regression model
Год появления	1997–2015	1995
Автор метода	Kulldorff (spatial scan statistic); operationalized for time-series bins by Esri (Emerging Hot Spot Analysis)	Luc Anselin
Тип	Spatiotemporal cluster detection	Spatial association analysis
Основополагающий источник	Kulldorff, M. (1997). A spatial scan statistic. Communications in Statistics: Theory and Methods, 26(6), 1481–1496.	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.
Другие названия	emerging hot spot analysis, space-time cube hot spot, spatiotemporal hot spot detection, STHA	local spatial association, local SA, LISA methods, local spatial clustering
Связанные	5	6
Сводка	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.	Local Spatial Autocorrelation methods decompose global spatial clustering into location-specific statistics, revealing where in a study area significant clustering or dispersion occurs. Each observation receives its own association score and significance value, enabling the detection of spatial hot spots, cold spots, and spatial outliers rather than reporting a single summary statistic.