A Spatially Explicit Comparison of Quantitative and Categorical Modelling Approaches for Mapping Seabed Sediments Using Random Forest

A Spatially Explicit Comparison of Quantitative and Categorical Modelling Approaches for Mapping Seabed Sediments Using Random Forest

Seabed sediment composition is an important component of benthic habitat and there are many approaches for producing maps that convey sediment information to marine managers. Random Forest is a popular statistical method for thematic seabed sediment mapping using both categorical and quantitative su...

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Bibliographic Details
Main Authors: Benjamin Misiuk, Markus Diesing, Alec Aitken, Craig J. Brown, Evan N. Edinger, Trevor Bell
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Geosciences
Subjects:
marine habitat mapping
benthic habitat mapping
grain size modelling
spatial autocorrelation
multiscale
marine geology
Online Access:https://www.mdpi.com/2076-3263/9/6/254

Internet

https://www.mdpi.com/2076-3263/9/6/254

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