Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Kiashirio cha Mfumo wa Geary wa Eneo (Local Geary's C)× | 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≠ | 1995 | 1992–1995 |
| Mwanzilishi≠ | Luc Anselin | Arthur Getis and J. Keith Ord |
| Aina≠ | Local spatial statistic | Local spatial association statistic |
| Chanzo asilia≠ | Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | 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 Geary, local spatial contiguity ratio, LISA Geary, local c statistic | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic |
| Zinazohusiana≠ | 6 | 5 |
| Muhtasari≠ | Local Geary's C is a local indicator of spatial association (LISA) that measures, for each location, how dissimilar its value is from its immediate neighbours. Unlike Local Moran's I, which detects clustering of similar values, Local Geary's C focuses on squared value differences and is especially sensitive to local spatial outliers and local heterogeneity. | 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. |
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