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Regresi Berwajaran Geografi (GWR) Tempatan

Regresi Berwajaran Geografi (GWR) Tempatan menganggarkan model regresi berasingan di setiap lokasi dalam kawasan kajian, membenarkan setiap pekali berubah secara spatial. Dengan memberatkan pemerhatian berdekatan dengan lebih berat berbanding yang jauh, GWR mendedahkan bagaimana hubungan prediktor-hasil beralih merentasi ruang geografi berbanding memaksa satu anggaran global tunggal pada data yang heterogen.

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Sumber

  1. Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
  2. Brunsdon, C., Fotheringham, A. S., & Charlton, M. E. (1996). Geographically weighted regression: a method for exploring spatial nonstationarity. Geographical Analysis, 28(4), 281-298. DOI: 10.1111/j.1538-4632.1996.tb00936.x

Cara memetik halaman ini

ScholarGate. (2026, June 3). Local Geographically Weighted Regression. ScholarGate. https://scholargate.app/ms/spatial-analysis/local-geographically-weighted-regression

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ScholarGateLocal Geographically Weighted Regression (Local Geographically Weighted Regression). Dicapai 2026-06-15 daripada https://scholargate.app/ms/spatial-analysis/local-geographically-weighted-regression · Set data: https://doi.org/10.5281/zenodo.20539026