Classification of large pollen datasets using neural networks with application to mapping and modelling pollen data
This thesis concerns the usage of large pollen databases and their application to mapping and modelling past vegetation. Maps of past taxon distributions are generated and classification techniques are used to compile maps of past woodland types. These visualisations of pollen data have applications in forest ecology and in modelling the impacts of climate change. Maps of the distribution limits o
