Environmental health risk detection with GeogDetector

By Jinfeng Wang, Y. Hu. Environmental Modelling & Software, 2012

497 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Epidemiology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/e13194b4b3f495d9c073794e4678e843a2f52c4c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Ming Zhang
2. Wenwen Wang
3. Wenzhong Zhang

In Global and Planetary Change

1. Mei-Po Kwan

Citations in the corpus

• Assessment and determinants of satisfaction with urban livability in China (2018, methodology): “Compared to traditional regression models, the geographical detector model is capable of handling categorical independent variables without consideration of the multicollinearity among the explanatory variables (Wang & Hu, 2012; Wang, Zhang, & Fu, 2016).”
• Using the geographical detector technique to explore the impact of socioeconomic factors on PM2.5 concentrations in China (2019, background): “Though first applied in the research of geographical issues, GDM has later been used in the study of human health (Wang and Hu, 2012), housing price (Wang et al., 2017) aeolian desertification (Du et al., 2016) and air pollutions (Zhou et al., 2018).”