Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Geary's C× | Kiashirio cha Mfumo wa Geary wa Eneo (Local Geary's C)× | |
|---|---|---|
| Nyanja | Uchanganuzi wa Kimaeneo | Uchanganuzi wa Kimaeneo |
| Familia | Regression model | Regression model |
| Mwaka wa asili≠ | 1954 | 1995 |
| Mwanzilishi≠ | Roy C. Geary | Luc Anselin |
| Aina≠ | Spatial autocorrelation statistic | Local spatial statistic |
| Chanzo asilia≠ | Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115–145. link ↗ | Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Majina mbadala | Geary contiguity ratio, Geary C statistic, spatial contiguity ratio, Geary's c | Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic |
| Zinazohusiana≠ | 4 | 6 |
| Muhtasari≠ | Geary's C is a global spatial autocorrelation statistic that measures whether nearby areal units share similar attribute values. Unlike Moran's I, it focuses on squared differences between adjacent pairs rather than cross-products of deviations from the mean, making it more sensitive to local dissimilarity and less influenced by global trends. | 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. |
| ScholarGateSeti ya data ↗ |
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