Identifying the Local Influencing Factors of Arsenic Concentration in Suburban Soil: A Multiscale Geographically Weighted Regression Approach

Identifying the Local Influencing Factors of Arsenic Concentration in Suburban Soil: A Multiscale Geographically Weighted Regression Approach

Exploring the local influencing factors and sources of soil arsenic (As) is crucial for reducing As pollution, protecting soil ecology, and ensuring human health. Based on geographically weighted regression (GWR), multiscale GWR (MGWR) considers the different influence ranges of explanatory variable...

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Bibliographic Details
Main Authors: Yuanli Zhu, Bo Liu, Gui Jin, Zihao Wu, Dongyan Wang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Toxics
Subjects:
arsenic
multiscale geographically weighted regression
adaptative bandwidth
local influencing factor
spatial heterogeneity
Online Access:https://www.mdpi.com/2305-6304/12/3/229

Internet

https://www.mdpi.com/2305-6304/12/3/229

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