2015/12/10 by Vanessa Lucieer, VL Lucieer, Zhi Huang +1 · 2 citations
Earth and Planetary Sciences · Environmental Science · Mathematics · #Bathymetry #Geology #Marine and fisheries research #Mathematics #Oceanography #Randomness #Remote sensing #Seabed #Seafloor spreading #Soil Geostatistics and Mapping #Spatial analysis #Statistics #Underwater Acoustics Research
paper · doi:10.1080/01490419.2015.1121173
openalex publication_date 2015/12/10 · crossref created 2015/12/10 · crossref issued 2016/01/02 · crossref published 2016/01/02 · crossref published-print 2016/01/02 · crossref published-online 2016/03/21 · openalex created_date 2025/10/10 · crossref deposited 2026/02/06 · crossref indexed 2026/07/31 · openalex updated_date 2026/08/01
Multibeam bathymetric data provide critical information for the modeling of seabed geology and benthic biodiversity. The accuracy of these models depends on the accuracy of the bathymetric data, which contain uncertainties that are stochastic at individual soundings but exhibit a distinct spatial distribution with increasing magnitude from nadir to the outer beams. A restricted spatial randomness method that simulates both the stochastic and spatial characteristics of the data uncertainty performed better than a complete spatial randomness method in analyzing the impact of bathymetric data uncertainty on derived seafloor attributes.