Presentation on theme: "Anders Bignert, Dep. of Contaminant Research 06.10.27 Randomization and stratification — a model analysis at different variation scenarios Swedish Museum."— Presentation transcript:
Anders Bignert, Dep. of Contaminant Research 06.10.27 Randomization and stratification — a model analysis at different variation scenarios Swedish Museum of Natural History
SD(lr) = 0.35 Power as a function of slope (annual change in %) at log-linear regression analysis at a residual standard deviation on a log-scale of 0.35, assuming normally distributed residuals. The graphs, from left to right, represent sampling every, every-second, third and fourth year, respectively based on Monte Carlo simulations at 10,000 runs. Sampling frequency Sampling period = 12 years
Spatial monitoring Objectives? Estimate mean and variance Regional differences Spatial trends Level in relation to class limit
Figur II. Variogram som visar hur skillnaden mellan prov (CB-118, pg/g färskvikt i strömmingsmuskel från Bottenhavet) ökar med ökande avstånd. Sample variogram
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