Silt-clay percentage on the Belgian continental shelf (UG_RCMG_sicl)
Citation
Verfaillie, E.; Van Lancker, V.; Ugent - Renard Centre of Marine Geology; (2006): Silt-clay percentage on the Belgian continental shelf (UG_RCMG_sicl). https://marineinfo.org/id/dataset/638
Contact:
Verfaillie, Els Availability:
 This dataset is licensed under a Creative Commons Attribution 4.0 International License.Description
Silt-clay percentage on the Belgian continental shelf. Interpolated map using ordinary kriging based on sedisurf@ database hosted by Ghent University, Renard Centre of Marine Geology (Verfaillie et al. in prep.) with an indication of the sample density. Scope Themes: Geology - Geophysics - Sedimentation, Geology - Geophysics - Sedimentation > Bathymetry - sonar images Keywords: Marine/Coastal, Geology, Geostatistics, Granulometry, Kriging, Silt-Clay percentage, ANE, Belgium, Belgian Continental Shelf (BCS) Geographical coverage ANE, Belgium, Belgian Continental Shelf (BCS) [Marine Regions] Temporal coverage
1976 - 2005 Parameter
Silt-clay percentage Contributors
Universiteit Gent; Faculteit Wetenschappen; Vakgroep Geologie; Renard Centre of Marine Geology (RCMG), more, data owner, data creator
Related datasets
Parent dataset: Full coverage sediment and bathymetry map of the BCS, more
Publication
Based on this dataset
Verfaillie, E. et al. (2008). Multivariate geostatistics for the predictive modelling of the surficial sand distribution in shelf seas, in: Verfaillie, E. Ontwikkeling en validering van een ruimtelijke verspreidingsmodellen van mariene habitats, ter ondersteuning van het ecologisch waarderen van de zeebodem = Development and validation of spatial distribution models of marine habitats, in support of the ecological valuation of the seabed. pp. 51-72, more
Verfaillie, E.; Van Lancker, V.; Van Meirvenne, M. (2006). Multivariate geostatistics for the predictive modelling of the surficial sand distribution in shelf seas. Cont. Shelf Res. 26(19): 2454-2468. https://dx.doi.org/10.1016/j.csr.2006.07.028, more
URLs
Institute home page: Dataset status: Completed
Data type: Data
Data origin: Research
Metadatarecord created: 2005-11-28
Information last updated: 2019-10-14
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