+ + Citation - Doser, J.W., Finley, A.O., Saunders, S.P., Kéry, Weed, A.S., and Zipkin E.F. (2024) Modeling complex species-environment relationships through spatially-varying coefficient occupancy models. Journal of Agricultural, Biological and Environmental Statistics. DOI: TBD +
++ Abstract - Occupancy models are frequently used by ecologists to quantify spatial variation in species distributions while accounting for observational biases (e.g., false-negative errors) in collection of detection-nondetection data. However, the common assumption that a single set of regression coefficients can adequately explain species-environment relationships is often biologically unrealistic across large spatial domains. Here we develop computationally-efficient single-species (i.e., univariate) and multi-species (i.e., multivariate) spatially-varying coefficient (SVC) occupancy models to account for spatially-varying species-environment relationships. Our models are particularly relevant for quantifying species-environment relationships using detection-nondetection data from large-scale monitoring programs, which are becoming increasingly prevalent for answering macroscale ecological questions regarding wildlife responses to global change.
++ Code and Data - Link to repo +
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