Salīdzināt metodes

	Lokālā tīklā balstīta telpiskā analīze	Lokālā telpiskā autokorelācija
Nozare	Telpiskā analīze	Telpiskā analīze
Saime	Regression model	Regression model
Izcelsmes gads	1990s–2000s	1995
Autors	Okabe, Sugihara, and spatial network analysis community	Luc Anselin
Tips	Spatial network analysis	Spatial association analysis
Pirmavots	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.
Citi nosaukumi	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
Saistītās	5	6
Kopsavilkums	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.