قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| الارتباط التلقائي المكاني الزماني-المكاني× | نموذج التباطؤ المكاني (SAR / الانحدار الذاتي المكاني)× | |
|---|---|---|
| المجال | التحليل المكاني | التحليل المكاني |
| العائلة | Regression model | Regression model |
| سنة النشأة≠ | 1981–1992 | 1988 |
| صاحب الطريقة≠ | Cliff & Ord; extended by Anselin and others | Anselin (textbook formalisation); LeSage & Pace |
| النوع≠ | Spatial autocorrelation statistic | Spatial autoregressive regression |
| المصدر التأسيسي≠ | Clifford, P., Richardson, S., & Hemon, D. (1989). Assessing the significance of the correlation between two spatial processes. Biometrics, 45(1), 123–134. DOI ↗ | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ |
| الأسماء البديلة | STSA, spatiotemporal autocorrelation, space-time Moran's I, temporal spatial dependence | SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag) |
| ذات صلة | 5 | 5 |
| الملخص≠ | 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. | The Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts. |
| ScholarGateمجموعة البيانات ↗ |
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