Continuous-time spatially explicit capture-recapture models, with an application to a jaguar camera-trap survey

Many capture-recapture surveys of wildlife populations operate in continuous time but detections are typically aggregated into occasions for analysis, even when exact detection times are available. This discards information and introduces subjectivity, in the form of decisions about occasion definition.
We develop a spatio-temporal Poisson process model for spatially explicit capture-recapture (SECR) surveys that operate continuously and record exact detection times. We show that, except in some special cases (including the case in which detection probability does not change within occasion), temporally aggregated data do not provide sufficient statistics for density and related parameters, and that when detection probability is constant over time our continuous-time (CT) model is equivalent to an existing model based on detection frequencies. We use the model to estimate jaguar density from a camera-trap survey and conduct a simulation study to investigate the properties of a CT estim...,
Camera trap survey (April-July 2011) of jaguars in Belize.
The data are from a camera trap survey of jaguars in Cockscomb Basin Wildlife Sanctuary in Belize (UTM 0348113, 1854515 WGS84). The survey used nineteen paired camera stations and ran for 90 days (April - July 2011). Two Excel worksheets are provided, one contains all the capture information (including the coordinates of each camera station) and the other one has details of trap failures.
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