Compară metode

	Analiză spațială bazată pe rețele locale	Autocorelația spațială locală
Domeniu	Analiză spațială	Analiză spațială
Familie	Regression model	Regression model
Anul apariției	1990s–2000s	1995
Autorul original	Okabe, Sugihara, and spatial network analysis community	Luc Anselin
Tip	Spatial network analysis	Spatial association analysis
Sursa seminală	Okabe, A., & Sugihara, K. (2012). Spatial Analysis Along Networks: Statistical and Computational Methods. Wiley. ISBN: 978-0470770818	Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115.
Denumiri alternative	local network analysis, local spatial network analysis, neighborhood network analysis, local graph-based spatial analysis	local spatial association, local SA, LISA methods, local spatial clustering
Înrudite	5	6
Rezumat	Local Network-Based Spatial Analysis computes spatial statistics and network measures — such as accessibility, centrality, and density — within restricted local neighborhoods of a spatial network, revealing how connectivity and flow vary across fine geographic scales rather than globally across the entire network.	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.