Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals › Research Explorer

Combining spatial autocorrelation with machine learning increases prediction accuracy of soil heavy metals

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

DOI

https://doi.org/10.1016/j.catena.2018.11.037
Final published version

Original language	English
Pages (from-to)	425-435
Number of pages	11
Journal	Catena
Volume	174
DOIs	https://doi.org/10.1016/j.catena.2018.11.037
Publication status	Published - 1 Mar 2019

WoS ResearchAreas Categories

Geosciences, Multidisciplinary
Soil Science
Water Resources

ASJC Scopus subject areas

Earth-Surface Processes

Research areas

Artificial neural networks, GRNNRK, Hybrid modelling, MLPRK, Residual Kriging, Topsoil

ID: 8319424