Predicting soil properties in the Canadian boreal forest with limited data: Comparison of spatial and non-spatial statistical approaches

Title
Predicting soil properties in the Canadian boreal forest with limited data: Comparison of spatial and non-spatial statistical approaches
Authors
Keywords
Digital soil mapping, Boreal forest, Spatial autocorrelation, Bayesian analyses, Machine-learning, Random forests, Boosted regression trees, Kriging, Geostatistic, Cross-validation
Journal
GEODERMA
Volume 306, Issue -, Pages 195-205
Publisher
Elsevier BV
Online
2017-08-12
DOI
10.1016/j.geoderma.2017.06.016

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