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Bayesi geograafiliselt kaalutud regressioon (BGWR)

Bayesi geograafiliselt kaalutud regressioon ühendab GWR-i ruumiliselt varieeruva koefitsiendi raamistiku Bayesi järeldustega, asetades lokaalselt varieeruvatele regressioonikoefitsientidele Gaussi protsessi priiorid. See annab iga koefitsiendi jaoks igas asukohas täielikud aposterioorsed jaotused, pakkudes põhimõttelist ebakindluse kvantifitseerimist, mitte ainult punktihinnanguid.

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Allikad

  1. Finley, A. O. (2011). Comparing spatially-varying coefficients models for analysis of ecological data with non-stationary and anisotropic residual dependence. Methods in Ecology and Evolution, 2(2), 143-154. DOI: 10.1111/j.2041-210X.2010.00060.x
  2. Wheeler, D., & Calder, C. (2007). An assessment of coefficient accuracy in linear regression models with spatially varying coefficients. Journal of Geographical Systems, 9(2), 145-166. DOI: 10.1007/s10109-006-0040-y

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Bayesian Geographically Weighted Regression. ScholarGate. https://scholargate.app/et/spatial-analysis/bayesian-geographically-weighted-regression

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Sellele viitavad

ScholarGateBayesian Geographically Weighted Regression (Bayesian Geographically Weighted Regression). Loetud 2026-06-15 aadressilt https://scholargate.app/et/spatial-analysis/bayesian-geographically-weighted-regression · Andmestik: https://doi.org/10.5281/zenodo.20539026