Identifying factors influencing trace metal concentrations in urban residential soil using an optimal parameter-based geographical detector model

Identifying factors influencing trace metal concentrations in urban residential soil using an optimal parameter-based geographical detector model

Australia's national citizen science program VegeSafe has collected and analysed over 26,000 residential garden soil samples for their trace metal concentrations, enabling a more comprehensive understanding of the factors influencing contamination. Here we analysed spatial data from 8221 soil s...

Full description

Bibliographic Details
Main Authors: Liu, X., Taylor, M.P., Song, Yongze, Aelion, C.M.
Format: Journal Article
Language:English
Published: 2025
Subjects:
Anthropogenic factors
GIS
Geo-detector
Lead (Pb) exposure
Machine learning
Natural factors
Risk assessment
Spatial heterogeneity analysis
Online Access:http://hdl.handle.net/20.500.11937/97968

Internet

http://hdl.handle.net/20.500.11937/97968

Similar Items