Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Модели размещения-распределения× | Модели пространственного взаимодействия (гравитационные модели)× | |
|---|---|---|
| Область | Пространственный анализ | Пространственный анализ |
| Семейство≠ | Process / pipeline | Regression model |
| Год появления≠ | 1963 | 1971 |
| Автор метода≠ | Leon Cooper; S. L. Hakimi | Alan Wilson (entropy-maximizing family) |
| Тип≠ | Spatial facility-location optimization | Model of flows between spatial origins and destinations |
| Основополагающий источник≠ | Cooper, L. (1963). Location-allocation problems. Operations Research, 11(3), 331–343. DOI ↗ | Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32. DOI ↗ |
| Другие названия | facility location, p-median problem, maximal covering location problem, yer-tahsis modelleri | gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli |
| Связанные | 4 | 4 |
| Сводка≠ | Location-allocation models decide where to place a set of facilities and simultaneously assign demand points to them so as to optimize an objective such as total travel cost, worst-case distance, or population covered. Rooted in the operations-research work of Cooper (1963) and Hakimi (1964) and central to network GIS, they answer questions like where to site warehouses, hospitals, fire stations, or schools to best serve a spatially distributed population. | Spatial interaction models predict the volume of flows — migrants, commuters, shoppers, trade, trips — between origins and destinations as a function of the size of each place and the distance or cost separating them. By analogy to Newton's gravity, interaction rises with the 'mass' of origin and destination and falls with separation, and Wilson's 1971 entropy-maximizing family put these models on a rigorous footing for transport, migration, and retail analysis. |
| ScholarGateНабор данных ↗ |
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