Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Location-Allocation× | Radiācijas mobilitātes un migrācijas modelis× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime≠ | Process / pipeline | Regression model |
| Izcelsmes gads≠ | 1963 | 2012 |
| Autors≠ | Leon Cooper; S. L. Hakimi | Filippo Simini et al. |
| Tips≠ | Spatial facility-location optimization | Parameter-free spatial interaction model |
| Pirmavots≠ | Cooper, L. (1963). Location-allocation problems. Operations Research, 11(3), 331–343. DOI ↗ | Simini, F., González, M. C., Maritan, A., & Barabási, A.-L. (2012). A universal model for mobility and migration patterns. Nature, 484, 96–100. DOI ↗ |
| Citi nosaukumi | facility location, p-median problem, maximal covering location problem, yer-tahsis modelleri | Radiation Law of Human Mobility, Parameter-free Mobility Model, Simini Radiation Model, Radyasyon Modeli |
| Saistītās≠ | 4 | 3 |
| Kopsavilkums≠ | 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. | 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. |
| ScholarGateDatu kopa ↗ |
|
|