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| Spatial Gini Concentration Index× | Gravity Model of Migration× | |
|---|---|---|
| حوزه | Human Geography | Human Geography |
| خانواده≠ | Process / pipeline | Regression model |
| سال پیدایش≠ | 1991 | 1946 |
| پدیدآور≠ | Corrado Gini (coefficient); locational adaptation in regional science / economic geography | George Kingsley Zipf (formalized); analogy to Newton's law of gravitation |
| نوع≠ | Descriptive index of how unevenly an activity is distributed across space | Spatial-interaction regression model for migration flows |
| منبع بنیادین≠ | Duncan, O. D., & Duncan, B. (1955). A methodological analysis of segregation indexes. American Sociological Review, 20(2), 210–217. DOI ↗ | Zipf, G. K. (1946). The P1 P2 / D hypothesis: On the intercity movement of persons. American Sociological Review, 11(6), 677–686. DOI ↗ |
| نامهای دیگر | Locational Gini Coefficient, Spatial Gini Index, Geographic Concentration Index, Gini Index of Spatial Inequality | Migration Gravity Model, Demographic Gravity Model, Zipf P1P2/D Model, Gravity Model of Spatial Interaction (Migration) |
| مرتبط | 4 | 4 |
| خلاصه≠ | The spatial (or locational) Gini concentration index adapts the classic Gini coefficient to geography, summarizing in a single number between zero and one how unevenly an activity — an industry, a population group, a resource — is distributed across spatial units relative to a benchmark such as total population or land area. It is the workhorse measure for quantifying geographic concentration and agglomeration in economic geography. | The gravity model of migration explains the volume of movement between two places as proportional to the product of their populations (masses) and inversely proportional to the distance separating them, by direct analogy to Newton's law of universal gravitation. Formalized for intercity movement by George Kingsley Zipf in 1946 and embedded in regional science by Walter Isard, it is the workhorse model of human geography for predicting migration, commuting, and other spatial-interaction flows. |
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