ABSTRACT

This chapter begins by describing the concept of space use in the context of spatial point processes and then builds on that with the concept of resource selection. It also begins with the punch line: the concept of resource selection functions (RSFs) fits within a standard framework for modeling spatial point processes. Under uniform availability, the RSF with exponential selection function is Notice the similarity of this resource selection model with that of the heterogeneous spatial point process model. The chapter considers the home range as a subset of geographic space where it is most likely to find a particular individual animal. The core area estimation approach described in this section provides a way to optimally partition the home range into discrete regions depending on their intensity of use. The fundamental issue with temporal autocorrelation arises because the point process models used to obtain RSF inference often assume that each point i.e. observed animal position arises independently of the others.