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| Локален пространствен анализ на мрежи× | Локална пространствена автокорелация× | |
|---|---|---|
| Област | Пространствен анализ | Пространствен анализ |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 1990s–2000s | 1995 |
| Създател≠ | Okabe, Sugihara, and spatial network analysis community | Luc Anselin |
| Тип≠ | Spatial network analysis | Spatial association analysis |
| Основополагащ източник≠ | 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. DOI ↗ |
| Други названия | 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 |
| Свързани≠ | 5 | 6 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
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