方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 局部网络空间分析× | 基于网络的空间分析× | |
|---|---|---|
| 领域 | 空间分析 | 空间分析 |
| 方法族 | Regression model | Regression model |
| 起源年份 | 1990s–2000s | 1990s–2000s |
| 提出者≠ | Okabe, Sugihara, and spatial network analysis community | Atsuyuki Okabe and colleagues |
| 类型≠ | Spatial network analysis | Spatial network model |
| 开创性文献≠ | 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 ↗ |
| 别名 | 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 |
| 相关≠ | 5 | 3 |
| 摘要≠ | 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. |
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