Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Просторовий Часовий C Гірі× | Просторово-часова просторова автокореляція× | |
|---|---|---|
| Галузь | Просторовий аналіз | Просторовий аналіз |
| Родина | Regression model | Regression model |
| Рік появи≠ | 1954 / 2010s | 1981–1992 |
| Автор методу≠ | Geary (1954); extended to space-time by Anselin and others | Cliff & Ord; extended by Anselin and others |
| Тип | Spatial autocorrelation statistic | Spatial autocorrelation statistic |
| Основоположне джерело≠ | Geary, R. C. (1954). The Contiguity Ratio and Statistical Mapping. The Incorporated Statistician, 5(3), 115-145. DOI ↗ | Clifford, P., Richardson, S., & Hemon, D. (1989). Assessing the significance of the correlation between two spatial processes. Biometrics, 45(1), 123–134. DOI ↗ |
| Інші назви | ST-Geary's C, spatiotemporal Geary C, space-time contiguity ratio, space-time local spatial autocorrelation | STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence |
| Пов'язані≠ | 6 | 5 |
| Підсумок≠ | Space-Time Geary's C extends the classical Geary contiguity ratio to panel or longitudinal spatial data, measuring autocorrelation across both geographic neighbors and adjacent time periods simultaneously. Values below 1 indicate positive space-time clustering; values above 1 indicate dispersion, and a value near 1 suggests random arrangement across the space-time lattice. | Space-Time Spatial Autocorrelation extends classic spatial autocorrelation measures — most notably Moran's I — to data that vary across both geographic units and time periods. It detects whether nearby locations that are also temporally close tend to share similar attribute values, revealing clusters, trends, or anomalies that purely spatial or purely temporal analyses would miss. |
| ScholarGateНабір даних ↗ |
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