Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Análisis Espacial Basado en Redes Locales× | Análisis de Puntos Calientes (Getis-Ord Gi*)× | |
|---|---|---|
| Campo | Análisis espacial | Análisis espacial |
| Familia | Regression model | Regression model |
| Año de origen≠ | 1990s–2000s | 1992 |
| Autor original≠ | Okabe, Sugihara, and spatial network analysis community | Arthur Getis and J. Keith Ord |
| Tipo≠ | Spatial network analysis | Local spatial statistic |
| Fuente seminal≠ | Okabe, A., & Sugihara, K. (2012). Spatial Analysis Along Networks: Statistical and Computational Methods. Wiley. ISBN: 978-0470770818 | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189-206. DOI ↗ |
| Alias | local network analysis, local spatial network analysis, neighborhood network analysis, local graph-based spatial analysis | Getis-Ord Gi* statistic, spatial hot spot detection, cluster and outlier analysis, HSA |
| Relacionados | 5 | 5 |
| Resumen≠ | 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. | Hot Spot Analysis uses the Getis-Ord Gi* local spatial statistic to identify geographic locations where high or low attribute values cluster together to a degree that is statistically significant. Each feature is evaluated in relation to its neighbours, producing a z-score that flags genuine spatial hot spots and cold spots against a background of random variation. |
| ScholarGateConjunto de datos ↗ |
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