ABSTRACT
The development of spatial capture-recapture (SCR) models was to make use of spatially explicit information that often accompanies capture-recapture data. Efforts have been made to unify SCR models with distance sampling and related methods. This chapter explains Several alternatives to SCR models that use spatial information in a capture-recapture setting. For example, T. Ivan et al. developed an approach that uses telemetry data to correct more traditional abundance estimators for movement. A natural SCR extension accounts for the uneven space use of individuals within a study area due to heterogeneity in habitat preference. One approach to account for habitat preference in the SCR is to generalize the conditional model for the activity centers. R. Glennie developed a model-based approach to account for movement in SCR models using fast approximations to dynamic movement models embedded in the SCR framework.
