  In the three decades since its introduction, resource selection analysis
(RSA) has become a widespread method for analyzing spatial patterns of animal
relocations obtained from telemetry studies. Recently, mechanistic home range
models have been proposed as an alternative framework for studying patterns of
animal space use. In contrast to RSA models, mechanistic home range models are
derived from underlying mechanistic descriptions of individual movement
behavior and yield spatially-explicit predictions for patterns of animal
space-use. In addition, their mechanistic underpinning means that, unlike RSA,
mechanistic home range models can also be used to predict changes in space-use
following perturbation. In this paper, we develop a formal reconciliation
between these two methods of home range analysis, showing how differences in
the habitat preferences of individuals give rise to spatially-explicit patterns
of space-use. The resulting unified framework combines the simplicity of
resource selection analysis with the spatially-explicit and predictive
capabilities of mechanistic home range models.
