Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Population Potential Model× | Modele de interacțiune spațială (gravitaționale)× | |
|---|---|---|
| Domeniu≠ | Human Geography | Analiză spațială |
| Familie≠ | Process / pipeline | Regression model |
| Anul apariției≠ | 1947 | 1971 |
| Autorul original≠ | John Q. Stewart | Alan Wilson (entropy-maximizing family) |
| Tip≠ | Social-physics measure of the cumulative influence of population at a location | Model of flows between spatial origins and destinations |
| Sursa seminală≠ | Stewart, J. Q. (1947). Empirical mathematical rules concerning the distribution and equilibrium of population. Geographical Review, 37(3), 461–485. DOI ↗ | Wilson, A. G. (1971). A family of spatial interaction models, and associated developments. Environment and Planning A, 3(1), 1–32. DOI ↗ |
| Denumiri alternative | Potential of Population, Market Potential Model, Demographic Potential, Stewart Potential | gravity model, spatial interaction model, competing destinations model, mekânsal etkileşim modeli |
| Înrudite | 4 | 4 |
| Rezumat≠ | The population potential model measures the cumulative influence that all of a region's population exerts on a given point, weighting each place's population inversely by its distance. Introduced by the astronomer-turned-social-scientist John Q. Stewart in 1947 as part of his 'social physics', it borrows the gravitational-potential analogy from physics: every population mass contributes potential at a point in proportion to its size and in inverse proportion to its distance. Summed across all places, the result is a smooth potential surface that maps relative accessibility, market reach, and demographic pressure. | 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. |
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