ABSTRACT
In Chapter 11 we discussed methods for dealing with data collected over time, including testing for trend and how to accommodate serial correlation. Environmental studies often generate data collected over space as well as time. Sometimes we are interested not only in characterizing chemical concentrations in an area by simple summary statistics, but also by describing the spatial pattern of concentration. Just as we fit models to describe changes in concentration over time, we can also fit models to describe changes in concentration over space. In this chapter we will talk about statistical tools for dealing with spatial data.
