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| Phương pháp Ước tính Dân số theo Sinh-Tử-Di cư (Cohort-Component Projection)× | Mô hình Bức xạ về Di chuyển và Di cư× | |
|---|---|---|
| Lĩnh vực≠ | Nhân khẩu học | Phân tích không gian |
| Họ≠ | Process / pipeline | Regression model |
| Năm ra đời≠ | 2001 | 2012 |
| Người khởi xướng≠ | Preston, Heuveline & Guillot | Filippo Simini et al. |
| Loại≠ | Demographic projection pipeline | Parameter-free spatial interaction model |
| Công trình gốc≠ | Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 978-1-557-86451-2 | Simini, F., González, M. C., Maritan, A., & Barabási, A.-L. (2012). A universal model for mobility and migration patterns. Nature, 484, 96–100. DOI ↗ |
| Tên gọi khác | Cohort-Component Method, Component Method of Population Projection, Age-Sex-Specific Population Projection, Kohort-Bileşen Projeksiyonu | Radiation Law of Human Mobility, Parameter-free Mobility Model, Simini Radiation Model, Radyasyon Modeli |
| Liên quan | 3 | 3 |
| Tóm tắt≠ | Cohort-Component Projection is the standard demographic method for forecasting future population size and age-sex structure by explicitly tracking births, deaths, and migration for each age-sex cohort across discrete time steps. Systematically formalized in the textbook literature by Preston, Heuveline, and Guillot (2001), the method builds on foundational actuarial and demographic work dating to the early twentieth century and remains the workhorse technique used by national statistical offices and international organizations worldwide. | The Radiation Model, introduced by Simini et al. in 2012, is a parameter-free model for predicting human mobility and migration flows between geographic locations. Drawing an analogy from radiation physics, it predicts trip volumes based solely on population sizes at origin and destination, and the intervening population within the circle connecting them. It has been widely applied to commuting flows, migration, and epidemic spreading. |
| ScholarGateBộ dữ liệu ↗ |
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