Mapping of potentially toxic elements in the urban topsoil of St. Petersburg (Russia) using regression kriging and random forest algorithms

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	561
Number of pages	13
Journal	Environmental Earth Sciences
Volume	82
Issue number	23
DOIs	https://doi.org/10.1007/s12665-023-11272-9
State	Published - 29 Nov 2023

Digital soil mapping, Heavy metals, Kriging, Machine learning, Potentially toxic elements

ID: 114633405