Ready-to-Analyze Datasets from Camera Trap Data

Functions to build datasets ready for statistical analysis from camera trap data: GLMM/GAMM on counts/RAI at various temporal levels, group size, occupancy, kernel/circular analysis of activity patterns, temporal interactions between species, hierarchical diel models, and classic capture-mark-recapture. Input data must be formatted in the style produced by 'camtrapR', the standard convention in the field.

soReta

Ready-to-analyze datasets from camera trap data.

soReta takes camera trap detection data (in the format produced by 'camtrapR', the standard convention in the field) and builds datasets ready for statistical analysis: GLMM/GAMM on counts and RAI at various temporal levels, group size, occupancy, kernel/circular analysis of activity patterns, temporal interactions between species, hierarchical diel models, and classic capture-mark-recapture.

soReta workflow

(JPG version also available)

Installation

soReta is not yet on CRAN. Install the development version from GitHub:

# install.packages("remotes")
remotes::install_github("OrlandoTomassini/soReta", build_vignettes = TRUE)

Quick example

library(soReta)

ds_month <- build_site_month(
  recordTable   = recordTable_soReta,
  camOp         = camOp_soReta,
  threshold_min = 30
)
head(ds_month)