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Volumn 31, Issue 13, 2011, Pages 1365-1376

Can we improve the spatial predictions of seabed sediments? A case study of spatial interpolation of mud content across the southwest Australian margin

Author keywords

Geostatistics; Inverse distance weighting (IDW); Machine learning method; Ordinary kriging (OK); Random forest; Regression kriging

Indexed keywords

BATHYMETRY; CONSERVATION MANAGEMENT; DATA SET; ENVIRONMENTAL GRADIENT; ERROR ANALYSIS; GEOSTATISTICS; INTERPOLATION; KRIGING; MARINE SEDIMENT; MUD; PERFORMANCE ASSESSMENT; PREDICTION; SEAFLOOR; SPATIAL ANALYSIS; VISUAL ANALYSIS;

EID: 79960366104     PISSN: 02784343     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csr.2011.05.015     Document Type: Article
Times cited : (58)

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