Bandingkan kaedah

	Autokorelasi Spatial Lokal	Local Geary's C
Bidang	Analisis Reruang	Analisis Reruang
Keluarga	Regression model	Regression model
Tahun asal	1995	1995
Pengasas	Luc Anselin	Luc Anselin
Jenis	Spatial association analysis	Local spatial statistic
Sumber perintis	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.
Alias	local spatial association, local SA, LISA methods, local spatial clustering	Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic
Berkaitan	6	6
Ringkasan	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.	Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity.