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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Analiza Hapësinore Bazuar në Rrjet×Autokorrelacioni Hapësinor×
FushaAnaliza hapësinoreAnaliza hapësinore
FamiljaRegression modelRegression model
Viti i origjinës1990s–2000s1950
KrijuesiAtsuyuki Okabe and colleaguesP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
LlojiSpatial network modelSpatial statistic / exploratory spatial data analysis
Burimi themeluesOkabe, A., Satoh, T., Furuta, T., Sugihara, K., & Okano, K. (2006). Generalized network Voronoi diagrams: Concepts, computational methods, and applications. International Journal of Geographical Information Science, 22(9), 965–994. DOI ↗Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
Emërtime të tjeranetwork spatial analysis, network-constrained spatial analysis, spatial network analysis, NBSAspatial dependence, geographic autocorrelation, spatial clustering measure, SA
Të lidhura35
PërmbledhjaNetwork-based spatial analysis (NBSA) analyzes the distribution and interaction of spatial phenomena constrained to a network structure — such as roads, railways, or rivers — using network distance rather than straight-line (Euclidean) distance. It is the appropriate framework whenever movement, proximity, or risk is governed by the underlying network topology rather than open space.Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.
ScholarGateSeti i të dhënave
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  1. v1
  2. 2 Burimet
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ScholarGateKrahasoni metodat: Network-Based Spatial Analysis · Spatial Autocorrelation. Marrë më 2026-06-15 nga https://scholargate.app/sq/compare