Spatial statistics and soil mapping: A blossoming partnership under pressure
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Title
Spatial statistics and soil mapping: A blossoming partnership under pressure
Authors
Keywords
Digital soil mapping, Geostatistics, Kriging, Machine learning, Pedometrics, Soil
Journal
Spatial Statistics
Volume -, Issue -, Pages 100639
Publisher
Elsevier BV
Online
2022-02-16
DOI
10.1016/j.spasta.2022.100639
References
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- (2019) R. M. Lark et al. EUROPEAN JOURNAL OF SOIL SCIENCE
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