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Geostatistical Interpolation for Predictive Modelling of Surficial Sediment
Distribution in Taman Laut Labuan
Anis Ilmi binti Ismail
Supervisor: Dr. Khaira binti Ismail
Bachelor of Science (Marine Science)
School of Marine and Environmental Sciences
Surficial sediment distribution map eases interaction between scientific community and
the public in studies concerning sediment transport and hydrodynamics, marine
pollution and benthic habitat mapping. The data acquisition for this study; groundsampling
and acoustic survey were conducted at Taman Laut Labuan using Ponar grab
and multibeam echo sounder respectively. This study aims to determine surficial
sediment distribution through grain size analysis and identify the best geostatistical
interpolation method for predictive modelling. The grain size analysis comprises of dry
sieving and laser diffraction analysis. As for the geostatistical interpolation method
employed are ordinary kriging (OK) as a univariate and ordinary cokriging (OCK) as
the multivariate. Median grain-size was utilised as the primary variable and the
attributed bathymetry as secondary. The results of this study demonstrate that OCK
is better than OK through cross-validation with a lower average prediction error and
lower root-mean-square error when coupled with the Gaussian model.
1860 | UMT UNDERGRADUATE RESEARCH DAY 2018