Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Multi-kritēriju lēmumu analīze, kas balstīta uz ĢIS (GIS-MCDA)× | Multinomiālā loģistiskā regresija× | |
|---|---|---|
| Nozare≠ | Telpiskā analīze | Ekonometrija |
| Saime≠ | Process / pipeline | Regression model |
| Izcelsmes gads≠ | 2006 | 1974 |
| Autors≠ | Jacek Malczewski (GIS-MCDA synthesis) | McFadden |
| Tips≠ | Spatial multi-criteria suitability/decision analysis | Multinomial logistic regression |
| Pirmavots≠ | Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703–726. DOI ↗ | McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. ISBN: 978-0127761503 |
| Citi nosaukumi≠ | GIS-MCDM, spatial multi-criteria analysis, GIS-AHP, weighted overlay suitability | multinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyon |
| Saistītās≠ | 4 | 5 |
| Kopsavilkums≠ | GIS-MCDA combines the map layers of a geographic information system with multi-criteria decision analysis to produce suitability or priority maps — ranking locations by how well they satisfy several weighted criteria at once. It is the standard framework for spatial decisions such as siting hospitals, solar farms, landfills, or evacuation areas, integrating methods like AHP, TOPSIS, and weighted overlay with spatial data. | Multinomial logistic regression is a maximum-likelihood method for a nominal (unordered) dependent variable with more than two categories. Building on McFadden's 1974 treatment of qualitative choice, it gives each category its own set of coefficients relative to a reference category. |
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