camtrapR is a package for camera trap data management in R.

Features

  • Data management — Build record tables from raw camera trap images/videos using EXIF metadata
  • Data import — Import data from external platforms (Wildlife Insights, Camtrap DP, csv files)
  • Survey dashboardsurveyDashboard() provides a code-free graphical user interface for data exploration and occupancy modelling
  • Activity patterns — Kernel density estimation and comparison of temporal activity
  • Occupancy models — Prepare and run single-species and Bayesian community occupancy models (via unmarked, ubms, JAGS or NIMBLE)
  • Spatial capture-recapture — Generate input for SCR analyses (with the secr package)
  • Spatial covariates — Extract environmental covariates and predict species occupancy across space
  • Visualisation — Maps, activity plots, and survey summary figures

Installation

Install the release version from CRAN:

install.packages("camtrapR")

Install the GitHub master version:

# install.packages("remotes")
# install.packages("R.rsp")
remotes::install_github("jniedballa/camtrapR", build_vignettes = TRUE)

Install the GitHub development version (most recent changes and new features):

remotes::install_github("jniedballa/camtrapR", ref = "dev", build_vignettes = TRUE)

Note: For installation from GitHub, package R.rsp is required. build_vignettes = TRUE is necessary due to the use of static vignettes.

You can also install a specific previous version (e.g., if a recent update broke code you need):

remotes::install_version(package = "camtrapR", version = "3.0.1")

Exiftool

Many camtrapR functions read EXIF metadata from JPG images and videos via Exiftool, a free and open-source tool by Phil Harvey (available for Windows, macOS, and Linux).

To make full use of camtrapR, you will need Exiftool on your system. See the installation instructions in vignette 1 and the Exiftool website.

If you only use camtrapR to create model input from existing record tables (without working with raw image files), Exiftool is not required.

Vignettes

camtrapR includes six vignettes covering the entire workflow:

  1. Camera trap data management
  2. Species and individual identification
  3. Record tables and model input
  4. Maps, species activity and reports
  5. Community Occupancy models
  6. Sample data sets and the surveyDashboard()

Browse them online at https://cran.r-project.org/package=camtrapR or locally after installation with browseVignettes("camtrapR").

Help and Support

Further reading

Niedballa, J., Sollmann, R., Courtiol, A., Wilting, A. (2016). camtrapR: an R package for efficient camera trap data management. Methods in Ecology and Evolution, 7(12), 1457–1462. https://doi.org/10.1111/2041-210X.12600

Niedballa, J., Sollmann, R., Wilting, A. (2025) The camtrapR R package: From data management to interactive ecological analysis of camera trap data. bioRxiv 2025.09.26.678697; doi: https://doi.org/10.1101/2025.09.26.678697

Citation

To cite camtrapR in publications, please use:

Niedballa, J., Sollmann, R., Courtiol, A., Wilting, A. (2016). camtrapR: an R package for efficient camera trap data management. Methods in Ecology and Evolution 7(12), 1457–1462. https://doi.org/10.1111/2041-210X.12600

or run citation("camtrapR") in R.

License

camtrapR is released under the GPL-2 license.