Krahasoni metodat

	Vlerësimi Lokal i Dendësisë me Bërthamë	Analiza Hapësinore Bazuar në Rrjet
Fusha	Analiza hapësinore	Analiza hapësinore
Familja	Regression model	Regression model
Viti i origjinës	1985-1986	1990s–2000s
Krijuesi	Silverman, B. W.; Diggle, P. J.	Atsuyuki Okabe and colleagues
Lloji	Non-parametric density estimator	Spatial network model
Burimi themelues	Silverman, B. W. (1986). Density Estimation for Statistics and Data Analysis. Chapman and Hall, London. ISBN: 978-0412246203	Okabe, 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.
Emërtime të tjera	Local KDE, adaptive KDE, spatially adaptive kernel density estimation, local density estimation	network spatial analysis, network-constrained spatial analysis, spatial network analysis, NBSA
Të lidhura	5	3
Përmbledhja	Local Kernel Density Estimation (Local KDE) is a non-parametric spatial method that estimates the density of point events at each location by applying a kernel function with a spatially adaptive bandwidth. Unlike global KDE, which uses a fixed bandwidth across the entire study area, Local KDE adjusts the smoothing window according to local data density, capturing fine-scale clustering where events are sparse or concentrated.	Network-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.