camtrapR

[Zakariaa Bouabbad]

Dear colleagues,

I hope you are doing well.

I am currently working on a research project focused on terrestrial wild mammals, and I would like to strengthen my skills in using R for statistical analysis in ecology.

I would greatly appreciate your guidance on how to effectively use R to analyze this type of data (e.g., camera trap data, presence/absence data, abundance, occupancy models, etc.). In particular, I am looking for:

• Recommended tutorials or video resources

• Example datasets suitable for practice

• Guidance on structuring data for analysis

• Advice on conducting statistical analyses aimed at producing a scientific article

Any resources, references, or personal experiences you could share would be extremely helpful for improving my methodology and ensuring the scientific quality of my work.

Thank you very much in advance for your support.

Kind regards,
Zakariaa Bouabbad

PhD student - Department of Biology - Laboratory of Ecology, Systematics, Conservation of Biodiversity (LESCB), URL-CNRST N° 18.

Faculty of Sciences Tetouan, Université Abdelmalek Essaâdi.

Tél: +212655678778

Email : Zakariaa...@etu.uae.ac.ma, Zakariaa...@gmail.com

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28/04/26 22:40:18

[Jürgen Niedballa]

Hello,

Sorry for the late reply.

The best starting points for new users of camtrapR are the package vignettes and the publications. See the links in the welcome text at the top of the Google group page.

For statistical analyses you'd need to be more specific what you want to do, since there are many packages available. unmarked is the best starting point for detection/ non-detection data and camtrapR can create input for it (function detection history).

camtrapR and unmarked both contain sample data. 

For a code-free way of analyzing camera trap data, a lot of functionality of camtrapR (and other packages) is available in the function surveyDashboard().

Best regards,

Jürgen 

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