Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Uchambuzi wa Kimaeneo wa Mtandao wa Karibu× | Uchambuzi wa Madoa ya Moto ya Getis-Ord Gi* ya Kienyeji× | |
|---|---|---|
| Nyanja | Uchanganuzi wa Kimaeneo | Uchanganuzi wa Kimaeneo |
| Familia | Regression model | Regression model |
| Mwaka wa asili≠ | 1990s–2000s | 1992–1995 |
| Mwanzilishi≠ | Okabe, Sugihara, and spatial network analysis community | Arthur Getis and J. Keith Ord |
| Aina≠ | Spatial network analysis | Local spatial association statistic |
| Chanzo asilia≠ | 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 ↗ |
| Majina mbadala | local network analysis, local spatial network analysis, neighborhood network analysis, local graph-based spatial analysis | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Zinazohusiana | 5 | 5 |
| Muhtasari≠ | 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. | The Local Getis-Ord Gi* statistic identifies statistically significant spatial clusters of high values (hot spots) and low values (cold spots) within a study area. Unlike global measures, it produces a z-score for every location, revealing where concentrated clustering occurs and with what statistical confidence. |
| ScholarGateSeti ya data ↗ |
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