A geostatistical analysis was made on the areal distribution pattern of ext
racted heavy metals in surface sediments of the Skagerrak and Kattegat. Nor
malisation was done on heavy metal concentrations with respect to content o
f organic carbon at 112 stations. Kriging has been applied to determine the
spatial distribution pattern of contaminated suspension load. The statisti
cal treatment of the data included variogram analysis and cross-validation
in order to reveal the spatial variability over the study area. The variogr
ams clearly indicate spatial dependency and it is demonstrated that the sta
tistical range of correlation is comparatively large. This implies that eve
n with a wide-spaced sampling grid, a geostatistical approach is applicable
in the marine environment. Results presented in the form of gridded maps,
in association with kriging standard deviations, describe the spreading eff
ects over a comparatively large marine area. A geostatistical approach usin
g kriging shows to be an effective tool for extracting spatial patterns nee
ded when analysing marine pollution patterns in the Kattegat and Skagerrak.