Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Локальная пространственная регрессия× | Spatial Lag Model× | |
|---|---|---|
| Область | Пространственный анализ | Пространственный анализ |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1996 | 1988 |
| Автор метода≠ | Brunsdon, Fotheringham & Charlton | Anselin (textbook formalisation); LeSage & Pace |
| Тип≠ | Spatially varying coefficient regression | Spatial autoregressive regression |
| Основополагающий источник≠ | Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168 | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ |
| Другие названия | locally weighted spatial regression, spatially varying coefficient model, local spatial model, place-based regression | SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag) |
| Связанные≠ | 6 | 5 |
| Сводка≠ | Local Spatial Regression fits a separate regression model at each location in a study area, allowing regression coefficients to vary continuously across space. Rather than forcing one global slope on all observations, it reveals where and how the relationship between predictors and an outcome changes geographically — producing a map of coefficients rather than a single number. | 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. |
| ScholarGateНабор данных ↗ |
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