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

• Published in: Geosciences
• Main Authors: Benjamin Misiuk, Markus Diesing, Alec Aitken, Craig J. Brown, Evan N. Edinger, Trevor Bell
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2019
• Subjects: marine habitat mapping; benthic habitat mapping; grain size modelling; spatial autocorrelation; multiscale; marine geology; Geology; QE1-996.5; Canada; Frobisher Bay; Nunavut
• Online Access: https://doi.org/10.3390/geosciences9060254; https://doaj.org/article/5a78589d878143f0a8deec40ec24451f

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...