Methoden vergelijken

	Ruimtelijk-temporele C van Geary	Ruimtelijke-Temporele Lokale Indicatoren van Ruimtelijke Associatie (ST-LISA)
Vakgebied	Ruimtelijke analyse	Ruimtelijke analyse
Familie	Regression model	Regression model
Jaar van ontstaan	1954 / 2010s	1995 (LISA); space-time extensions developed 2000s–2010s
Grondlegger	Geary (1954); extended to space-time by Anselin and others	Extension of Anselin (1995) LISA framework to the space-time domain
Type	Spatial autocorrelation statistic	Local spatial statistic (space-time)
Oorspronkelijke bron	Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115-145.	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.
Aliassen	ST-Geary's C, spatiotemporal Geary C, space-time contiguity ratio, space-time local spatial autocorrelation	ST-LISA, space-time LISA, spatiotemporal local indicators of spatial association, STLISA
Verwant	6	6
Samenvatting	Space-Time Geary's C extends the classical Geary contiguity ratio to panel or longitudinal spatial data, measuring autocorrelation across both geographic neighbors and adjacent time periods simultaneously. Values below 1 indicate positive space-time clustering; values above 1 indicate dispersion, and a value near 1 suggests random arrangement across the space-time lattice.	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.