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

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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...

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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

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