ABSTRACT
In this chapter, the basic principles of locally-adaptive methods are elucidated. There is a wide variety of methods which adapt in different ways to spatial variation in the property or properties of interest, and the latter part of this chapter looks at some key types of locally-adaptive methods. These include stratification or segmentation of data, moving window/kernel methods, as well as various data transforms. Finally, some ways of categorising local models are outlined, and links are made to the models and methods described in each of the chapters.
