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| Lokal netværksbaseret rumlig analyse× | Netværksbaseret rumlig analyse× | |
|---|---|---|
| Fagområde | Rumlig analyse | Rumlig analyse |
| Familie | Regression model | Regression model |
| Oprindelsesår | 1990s–2000s | 1990s–2000s |
| Ophavsperson≠ | Okabe, Sugihara, and spatial network analysis community | Atsuyuki Okabe and colleagues |
| Type≠ | Spatial network analysis | Spatial network model |
| Oprindelig kilde≠ | Okabe, A., & Sugihara, K. (2012). Spatial Analysis Along Networks: Statistical and Computational Methods. Wiley. ISBN: 978-0470770818 | 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. DOI ↗ |
| Aliasser | local network analysis, local spatial network analysis, neighborhood network analysis, local graph-based spatial analysis | network spatial analysis, network-constrained spatial analysis, spatial network analysis, NBSA |
| Relaterede≠ | 5 | 3 |
| Resumé≠ | 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. | 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. |
| ScholarGateDatasæt ↗ |
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