Now showing items 1-5 of 5

  • An assessment of the population of cotton-top tamarins (Saguinus oedipus) and their habitat in Colombia 

    Savage, Anne; Thomas, Len; Feilen, Katie L.; Kidney, Darren; Soto, Luis H.; Pearson, Mackenzie; Medina, Felix S.; Emeris, German; Guillen, Rosamira R. (2016-12-28) - Journal article
    Numerous animals have declining populations due to habitat loss, illegal wildlife trade, and climate change. The cotton-top tamarin (Saguinus oedipus) is a Critically Endangered primate species, endemic to northwest Colombia, ...
  • Capture-recapture abundance estimation using a semi-complete data likelihood approach 

    King, Ruth; T. McClintock, Brett; Kidney, Darren; Borchers, David (2016-03) - Journal article
    Capture-recapture data are often collected when abundance estimation is of interest. In the presence of unobserved individual heterogeneity, specified on a continuous scale for the capture probabilities, the likelihood is ...
  • An efficient acoustic density estimation method with human detectors applied to gibbons in Cambodia 

    Kidney, Darren; Rawson, Benjamin M.; Borchers, David Louis; Stevenson, Ben; Marques, Tiago A.; Thomas, Len (2016-05-19) - Journal article
    Some animal species are hard to see but easy to hear. Standard visual methods for estimating population density for such species are often ineffective or inefficient, but methods based on passive acoustics show more promise. ...
  • Flexible density surface estimation for spatially explicit capture-recapture surveys 

    Borchers, David Louis; Kidney, Darren (University of St Andrews, 2014-07-01) - Report
    1. Existing spatially explicit capture-recapture (SECR) software does not have the ability to fit flexible nonparametric models of animal density. 2. We describe and implement in the R package secrgam, a flexible method ...
  • Random coeffcient models for complex longitudinal data 

    Kidney, Darren (University of St Andrews, 2014-06-27) - Thesis
    Longitudinal data are common in biological research. However, real data sets vary considerably in terms of their structure and complexity and present many challenges for statistical modelling. This thesis proposes a series ...