Multiscale Geographically Weighted Regression (MGWR)
Multiscale Geographically Weighted Regression (MGWR) je lokalni prostorni regresioni okvir koji ublažava ograničenje fiksnog opsega (bandwidth) standardnog GWR-a dozvoljavajući svakom prediktoru da deluje na sopstvenoj prostornoj skali. Svaka površ koeficijenata kalibriše se sopstvenim opsegom, omogućavajući modelu da razlikuje faktore koji se sporo menjaju kroz prostor od onih koji se naglo menjaju.
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Izvori
- Fotheringham, A. S., Yang, W., & Kang, W. (2017). Multiscale geographically weighted regression (MGWR). Annals of the American Association of Geographers, 107(6), 1247-1265. DOI: 10.1080/24694452.2017.1352480 ↗
- Oshan, T. M., Li, Z., Kang, W., Wolf, L. J., & Fotheringham, A. S. (2019). mgwr: A Python implementation of multiscale geographically weighted regression for investigating process spatial heterogeneity and scale. ISPRS International Journal of Geo-Information, 8(6), 269. DOI: 10.3390/ijgi8060269 ↗
Kako citirati ovu stranicu
ScholarGate. (2026, June 3). Multiscale Geographically Weighted Regression. ScholarGate. https://scholargate.app/sr/spatial-analysis/multiscale-geographically-weighted-regression
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Geographically Weighted Regression (GWR)Prostorna analiza↔ compare
- Lokalna prostorna regresijaProstorna analiza↔ compare
- Prostorni Durbin model (SDM)Prostorna analiza↔ compare
- Model prostorne greške (SEM)Prostorna analiza↔ compare
- Model prostornog kašnjenja (SAR / Spatial Autoregressive)Prostorna analiza↔ compare
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