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Activity Number: 288 - The New Era of Ecological Statistics
Type: Invited
Date/Time: Wednesday, August 5, 2020 : 10:00 AM to 11:50 AM
Sponsor: Section on Statistics and the Environment
Abstract #312350
Title: A Spatio-Temporal Model for Multivariate Occupancy Data
Author(s): Staci Hepler* and Robert Erhardt
Companies: Wake Forest University and Wake Forest University
Keywords: occupancy; spatial statistics; ecology; presence; hierarchical model
Abstract:

Occupancy models are commonly used in ecology to model the presence/absence of species while accounting for imperfect detection. In this talk, we propose a multivariate spatio-temporal occupancy model to jointly model multiple species of interest while accounting for spatial, temporal, and cross-species dependencies. Data augmentation along with the specified form of the model permit all Gibbs updates in the Markov chain Monte Carlo algorithm, making the model computationally efficient and scalable with both the number of species and size of spatial lattice. We illustrate our model with a three species camera trap study on Thomson's gazelle, wildebeest, and zebra in the Serengeti National Park of Tanzania, Africa.


Authors who are presenting talks have a * after their name.

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