Time Trend Estimation for a Geographic Region
Abstract We discuss a framework for estimation of temporal trend for an evolving spatial field. The spatial field is regularly sampled in time at arbitrary monitoring locations whose position may change over time. The estimation of time trend and the quantification of estimation error derives from a probabilistic model. We illustrate with an example involving the surface temperature field in the steppe region of eastern Europe.