The extraction of the training subset for the spatial distribution modelling of the heavy metals in topsoil › Research Explorer

DOI

https://doi.org/10.1016/j.catena.2021.105699
Final published version

Original language	English
Article number	105699
Number of pages	8
Journal	Catena
Volume	207
DOIs	https://doi.org/10.1016/j.catena.2021.105699
Publication status	Published - Dec 2021

Research areas

MLP, Raw data dividing, Representativeness, Soil sample, Topsoil, Training set, ARTIFICIAL NEURAL-NETWORK, PREDICTION, ACCURACY, POLLUTION, SOIL, MACHINE, SELECTION

ASJC Scopus subject areas

Earth-Surface Processes

WoS ResearchAreas Categories

Geosciences, Multidisciplinary
Soil Science
Water Resources

ID: 23716144