camtrapR
July 28, 2026 · View on GitHub
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 dashboard —
surveyDashboard()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
secrpackage) - 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.rspis required.build_vignettes = TRUEis 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:
- Camera trap data management
- Species and individual identification
- Record tables and model input
- Maps, species activity and reports
- Community Occupancy models
- 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
- Google Group:
camtrapR — for all
questions and problems around the use of
camtrapR - GitHub Issues: Report bugs or request features
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.