An improved geographically weighted regression model for PM 2.5 concentration estimation in large areas

By Liang Zhai, Shuang Li, Bin Zou, H. Sang, Xin Fang, Sha Xu. 2018

90 citations recorded by the source corpus.

Subfields: Automotive Engineering, Environmental Engineering, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/ed6dd2ea5a6d3236db1a6c597494fafcb9b17bca

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1. Linchuan Yang
2. Liping Zhan
3. Rui Zhao
4. Mingxing Yao

Citations in the corpus

• A geographically weighted regression model augmented by Geodetector analysis and principal component analysis for the spatial distribution of PM2.5 (2020, methodology): “, 2010, 2017); and PCA recombines the important predictor variables (selected by Geodetector analysis) into mutually independent regressors to reduce the multicollinearity (Zhai et al., 2018).”