Сравнение методов

	Space-Time Local Indicators of Spatial Association	Локальный индекс пространственной автокорреляции (LISA)
Область	Пространственный анализ	Пространственный анализ
Семейство	Regression model	Regression model
Год появления	1995 (LISA); space-time extensions developed 2000s–2010s	1995
Автор метода	Extension of Anselin (1995) LISA framework to the space-time domain	Luc Anselin
Тип	Local spatial statistic (space-time)	Local spatial autocorrelation statistic
Основополагающий источник	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.	Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93–115.
Другие названия	ST-LISA, space-time LISA, spatiotemporal local indicators of spatial association, STLISA	Local Indicator of Spatial Association, LISA statistic, Anselin Local Moran, local spatial autocorrelation index
Связанные	6	6
Сводка	Space-Time Local Indicators of Spatial Association (ST-LISA) extend the classic LISA framework of Anselin (1995) into the temporal dimension, identifying locations that exhibit statistically significant spatial clustering or spatial outlier behavior consistently or intermittently across multiple time periods. They decompose global space-time autocorrelation into local contributions, revealing where and when spatial clusters emerge, persist, or dissolve.	Local Moran's I, introduced by Luc Anselin in 1995, is a Local Indicator of Spatial Association (LISA) that decomposes global spatial autocorrelation into location-specific contributions. For every observation it produces a signed statistic and a significance value, enabling researchers to identify spatial clusters (high-high, low-low) and spatial outliers (high-low, low-high) on a map.