مقایسهٔ روش‌ها

	تحلیل نقاط داغ فضا-زمان	خودهمبستگی فضایی محلی
حوزه	تحلیل فضایی	تحلیل فضایی
خانواده	Regression model	Regression model
سال پیدایش	1997–2015	1995
پدیدآور	Kulldorff (spatial scan statistic); operationalized for time-series bins by Esri (Emerging Hot Spot Analysis)	Luc Anselin
نوع	Spatiotemporal cluster detection	Spatial association analysis
منبع بنیادین	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.
نام‌های دیگر	emerging hot spot analysis, space-time cube hot spot, spatiotemporal hot spot detection, STHA	local spatial association, local SA, LISA methods, local spatial clustering
مرتبط	5	6
خلاصه	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.