Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Стійкий коефіцієнт C Гірі× | Локальний коефіцієнт C Гірі× | |
|---|---|---|
| Галузь | Просторовий аналіз | Просторовий аналіз |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1954 (base); robust variants: 1990s–2000s | 1995 |
| Автор методу≠ | Geary (1954); robust extensions by Anselin and spatial statisticians | Luc Anselin |
| Тип≠ | Robust spatial autocorrelation statistic | Local spatial statistic |
| Основоположне джерело≠ | Geary, R. C. (1954). The contiguity ratio and statistical mapping. The Incorporated Statistician, 5(3), 115–145. DOI ↗ | Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| Інші назви | robust Geary contiguity ratio, outlier-resistant Geary's C, robust spatial contiguity statistic, robust Geary C | Local Geary, local spatial contiguity ratio, LISA Geary, local c statistic |
| Пов'язані | 6 | 6 |
| Підсумок≠ | Robust Geary's C adapts the classical Geary contiguity ratio — a measure of spatial autocorrelation based on pairwise squared differences between neighbouring locations — to resist distortion by spatial outliers and influential observations. It retains the local sensitivity of Geary's C while producing more reliable inferences when the spatial data contain extreme values or non-normal distributions. | 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. |
| ScholarGateНабір даних ↗ |
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