The goal of this project is to estimate pollution values lead and cadmium in 100 metre squares throughout Sweden. Since actual mesurements only are avalible for a limited number of colletion stations, natural trends (e.g proximity to transportations corridors) and the measured pollution values from the collection stations are feed in to a neural network. A neural network is capable to find the relationships between the hypothesis choosen (natural trends) and the measured pollution values. With the relationship (estimations for 100 metre squares) known, a grid could be created and presented in a GIS.