A modular framework for camera-trap reporting
Camera-trap monitoring generates extensive information on sampling effort, species detections, and wildlife communities. Translating these data into meaningful ecological evidence requires systematic quality assessment, appropriate analytical methods, and consistent reporting.
camtrapReport brings these elements together in a
modular, reproducible reporting framework built around
the Camtrap DP standard. It
supports researchers, conservation practitioners, and monitoring
networks working across sites, datasets, and monitoring periods.
For installation and practical examples, see Get Started.
Built-in analyses and extensibility
camtrapReport provides modules for describing survey
design and sampling effort, summarising species detections and
capture-based indices, and exploring ecological patterns. Available
analyses include species richness, accumulation curves, co-occurrence,
activity patterns, habitat associations, spatial detection intensity,
and Random Encounter Model (REM) density estimation.
The Module Catalog documents available analyses, requirements, and settings. Report content depends on the selected modules, input data, and methodological assumptions.
Users can select, reorder, and customise existing modules or develop new ones for specific research and monitoring objectives. See Module Management for guidance on extending the framework.
Analytical Profiles
Standardised data do not necessarily produce comparable ecological estimates. Differences in filtering, analytical methods, and parameter settings can affect results across sites and monitoring periods.
Analytical Profiles support consistent reporting by defining reusable selections and ordering of modules. The underlying analytical methods and parameters remain specified by the modules and report settings.
camtrapReport includes default and EOW-oriented
profiles, which can be adapted to different monitoring contexts. See the
Analytical Profiles guide for their
configurations, assumptions, and use.
Explore the documentation
- Get Started — Installation and first steps.
- Data Status Check — Data-quality assessment.
- Ecological Report — Report generation and configuration.
- Module Catalog — Available analyses and requirements.
- Module Management — Customising and extending modules.
- Analytical Profiles — Reusable reporting configurations.
For questions, ideas, and collaborations, visit GitHub Discussions. Use GitHub Issues to report bugs or request features.