Reconstruction of past European land cover from pollen data: using spatial statistics and Crank-Nicolson Monte Carlo
Given a pollen data set from Europe over a time period, the aim is to reconstruct the past land cover by interpolating from the pollen data values to a continuous map. The data is on compositional form with three vegetation categories; coniferous forest, broadleaved forest and open land. Reconstruction will be based on a Gaussian Markov random field with separable spatio-temporal structure for the