Joint Species Distribution Model with Imperfect Detection
Dr Yan Wang discusses joint species distribution models (JSDMs) as part of the Statistics and Stochastic colloquium. A Colloquium Series of the Department of Mathematics and Statistics at La Trobe University.
- Thursday 21 November 2019 12:00 pm until Thursday 21 November 2019 01:00 pm (Add to calendar)
- Andriy Olenko
03 9479 2609; A.Olenko@latrobe.edu.au
- Presented by:
- Dr Yan Wang, RMIT University
- Type of Event:
- Current Student: Undergraduate; Current Student: Postgraduate; Public
Joint species distribution models (JSDMs) are a recent development in biogeography and enable the spatial modelling of multiple species and their interactions and dependencies. However, most models do not consider imperfect detection, which can significantly bias estimates.
A multivariate hierarchical probit JSDM was proposed that includes explicit modelling of imperfect detection. A Bayesian approach has been employed for model estimation. This is one of the first studies to account for imperfect detection when fitting data with JSDMs and study the complications that may arise.
We investigate how imperfect detection affects estimates of occupancy and correlation parameters under a range of environmental conditions. The model is also applied to a case study of owls and gliders in South East Australia.
Room 310, Physical Sciences 2, La Trobe University, Melbourne Campus
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