At least since Darwin argued that the difference in cognitive abilities between animals and humans is one of degree and not of kind, the study of animal cognition has been an active and dynamic subfield of behavioral sciences. It has, however, been based almost entirely on experimental studies of animals in captivity and belongs - as a field - more snugly in the realm of Psychology (or Ethology), with relatively little application to understanding the behavior of animals in the wild. Movement Ecology, in contrast, is a more recent branch of Ecology devoted almost entirely to the analysis of animal movements in the wild. Technological developments allow for animals to be tracked in the wild in ever-increasing numbers, precision, and duration. Movement ecology has, to some extent, “chased the data”, reflecting the practical need to analyze and interpret those data. Much of the most important developments of recent decades are devoted to dealing with the trickier aspects of the statistical analysis of movement data - which in their multidimensionality, autocorrelation, gappiness and measurement error, and behavioral complexity pose no shortage of hairy statistical problems.