Panel Multiscale Geographically Weighted Regression (Panel MGWR)
Panel MGWR melanjutkan Multiscale Geographically Weighted Regression kepada data cerapan berulang (panel), membenarkan setiap peramal beroperasi pada lebar jalur spatialnya sendiri sambil mengawal kesan tetap khusus unit atau khusus masa. Ia digunakan apabila ketidakhomogenan spatial dan struktur temporal kedua-duanya penting secara serentak.
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Method map
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Sumber
- 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 ↗
- Yu, H., Fotheringham, A. S., Li, Z., Oshan, T., Kang, W., & Wolf, L. J. (2020). Inference in Multiscale Geographically Weighted Regression. Geographical Analysis, 52(1), 87-106. DOI: 10.1111/gean.12189 ↗
Cara memetik halaman ini
ScholarGate. (2026, June 3). Panel Multiscale Geographically Weighted Regression. ScholarGate. https://scholargate.app/ms/spatial-analysis/panel-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.
- Regresi Berbobot Geografi (GWR)Analisis Reruang↔ compare
- Regresi Berwajaran Geografi (GWR) TempatanAnalisis Reruang↔ compare
- Regresi Berwajaran Geografi Pelbagai Skala (MGWR)Analisis Reruang↔ compare
- Model Durbin Panel SpatialAnalisis Reruang↔ compare
- Model Ralat Spatial PanelAnalisis Reruang↔ compare
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