Researchers often work with data corresponding to geographic locations. In these situations, it may be of interest to visualize data and take full advantage of spatial statistical methods in order to ...

In many applications involving geographically indexed data, interest focuses on identifying regions of rapid change in the spatial surface, or the related problem of the construction or testing of ...

We present an approach for modeling areal spatial covariance in observed genetic alíele data by considering the stationary (limiting) distribution of a spatio-temporal Markov random walk model for ...