Panel Multiscale Geographically Weighted Regression (Panel MGWR)
Panel MGWR memperluas Multiscale Geographically Weighted Regression ke data observasi berulang (panel), yang memungkinkan setiap prediktor beroperasi pada bandwidth spasialnya sendiri sambil mengontrol efek tetap spesifik unit atau spesifik waktu. Ini digunakan ketika heterogenitas spasial dan struktur temporal sama-sama penting secara bersamaan.
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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 menyitasi halaman ini
ScholarGate. (2026, June 3). Panel Multiscale Geographically Weighted Regression. ScholarGate. https://scholargate.app/id/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 Geografis (GWR)Analisis Spasial↔ compare
- Regresi Berbobot Geografis Lokal (GWR)Analisis Spasial↔ compare
- Regresi Tertimbang Geografis Multiskala (MGWR)Analisis Spasial↔ compare
- Model Panel Spasial DurbinAnalisis Spasial↔ compare
- Model Kesalahan Spasial PanelAnalisis Spasial↔ compare
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