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spAbundance: An R package for single-species and multi-species spatially exp Citation - Doser J.W., Finley A.O., Kéry M., and Zipkin E.F. (2024) spAbundance: An R package for single-species and multi-species spatially explicit abundance models. Methods in Ecology and Evolution. DOI: 10.1111/2041-210X.14332

- Abstract - The spAbundance R package provides a user-friendly platform to fit spatially explicit single-species and multi-species hierarchical distance sampling models, N-mixture models, and generalized linear mixed models using a Bayesian approach. We provide three vignettes and three case studies that highlight spAbundance functionality. - - We used spatially explicit multi-species distance sampling models to estimate density of 16 bird species in Florida, USA, an N-mixture model to estimate black-throated blue warbler (Setophaga caerulescens) abundance in New Hampshire, USA, and a spatial linear mixed model to estimate forest above-ground biomass across the continental USA. spAbundance provides a user-friendly, formula-based interface to fit a variety of univariate and multivariate spatially explicit abundance models. The package serves as a useful tool for ecologists and conservation practitioners to generate improved inference and predictions on the spatial drivers of abundance in populations and communities. + Abstract - The spAbundance R package provides a user-friendly platform to fit spatially explicit single-species and multi-species hierarchical distance sampling models, N-mixture models, and generalized linear mixed models using a Bayesian approach. We provide three vignettes and three case studies that highlight spAbundance functionality. The package serves as a tool for ecologists and conservation practitioners to generate inferences and predictions on the spatial drivers of abundance in populations and communities.

Code and Data - Link to repo