Measurement error-filtered machine learning in digital soil mapping

Title
Measurement error-filtered machine learning in digital soil mapping
Authors
Keywords
Digital soil mapping, Machine learning, Measurement error, Maximum likelihood, REML, E-BLUP
Journal
Spatial Statistics
Volume 47, Issue -, Pages 100572
Publisher
Elsevier BV
Online
2021-12-17
DOI
10.1016/j.spasta.2021.100572

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search