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Regression modelGIS / spatial

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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Sumber

  1. 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
  2. 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

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ScholarGatePanel Multiscale Geographically Weighted Regression (Panel Multiscale Geographically Weighted Regression). Dicapai 2026-06-15 daripada https://scholargate.app/ms/spatial-analysis/panel-multiscale-geographically-weighted-regression · Set data: https://doi.org/10.5281/zenodo.20539026