# A Small Shiny App Built with camtrapR – Feedback Welcome

[Arief Budiman]

Hi everyone,

I hope it’s okay to share this here. I’ve been working on a small Shiny app built around the camtrapR workflow to support National Park staff with camera-trap data management.

It’s still simple and under active development, but if anyone is interested or has suggestions, the repository is here:
https://github.com/ariefalpinus/npnameyrapp

I’d like to sincerely thank Jürgen Niedballa and the camtrapR community for creating such a great toolkit and for the ongoing development work (including the upcoming dashboard).
I would be grateful for any feedback or suggestions from the group.

Best regards,
Arief

[Juergen Niedballa]

Hi Arief,

Thank you so much for sharing this! It is great to see tools being built around camtrapR to make these workflows more accessible. Helping National Park staff and non-coders bridge the gap between data collection and analysis is indeed a critical challenge, and creating a GUI wrapper to simplify the directory structures and inputs is a great initiative.

Since you mentioned the upcoming dashboard in your post, I wanted to let you (and the group) know that camtrapR now includes a comprehensive, built-in Shiny application called surveyDashboard(). It was designed with very similar goals in mind: to provide an interactive, point-and-click interface for users who might not be comfortable scripting everything in R.

While your app seems tailored to a specific, structured workflow (which is of course very helpful for standardization within organizations), the native surveyDashboard() is designed to be highly flexible regarding input formats and analysis.

For those interested, the main functionalities of the native dashboard currently include:

• Flexible Data Import: Accepts CSVs, Wildlife Insights exports, and camtrapDP formats directly.
• Data Management: Interactive filtering of stations, dates, and species.
• Visualization: Interactive maps of camera locations and detections, plus activity pattern comparisons and species accumulation curves.
• Covariates: Automated extraction of covariates from local rasters or online elevation data.
• Modeling: It runs single-species occupancy models (using unmarked and ubms), including model selection and response curves. Also runs multi-species occupancy models in JAGS.
• Predictions: It can generate spatial predictions and export them as rasters.

It functions as a comprehensive GUI for the package. You can launch it simply by running:

library(camtrapR)
surveyDashboard()

I would love to hear your thoughts on it. Given your experience developing npnameyrapp for park staff, your feedback on the usability of the native dashboard would be incredibly valuable. There might even be specific features from your workflow that would be worth considering for future updates of camtrapR.

Thanks again for contributing to the community!

Best regards,

Jürgen Niedballa

Arief --
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