bisonpicsuite

bisonpicsuite: A set of R packages to estimate wood bison population parameters from remote camera data. - Published in JOSS (2025)

https://github.com/poissonconsulting/bisonpicsuite

Scientific Fields

Repository

Loads the three bisonpic packages (bisonpictools, shinybisonpic, and runbisonpic)

README.Rmd

---
output: github_document
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  fig.width = 5,
  fig.height = 4
)
library(bisonpicsuite)
```

# bisonpicsuite


[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[![R-CMD-check](https://github.com/poissonconsulting/bisonpicsuite/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/poissonconsulting/bisonpicsuite/actions/workflows/R-CMD-check.yaml)
[![Codecov test coverage](https://codecov.io/gh/poissonconsulting/bisonpicsuite/graph/badge.svg)](https://app.codecov.io/gh/poissonconsulting/bisonpicsuite)


The goal of `bisonpicsuite` is to make it easy to install and load the `bisonpic` suite of
R packages for visualizing and analyzing wood **BISON** camera trap (**PIC**) data.

The packages are designed to facilitate data exploration and analysis of wood bison camera trap data, using underlying functions to visualize and analyze data (`bisonpictools`) and Shiny applications that streamline the data visualization (`shinybisonpic`) and data analysis (`runbisonpic`) processes.

The data are analyzed using an Bayesian Integrated Population Model, which combines a stage-structured population projection matrix model with multiple sources of data into a unified framework, allowing for estimates of age-sex class ratios, population vital rates, and abundances, while maintaining the correct propagation of uncertainty.
See the [analytical methods](https://poissonconsulting.github.io/bisonpictools/articles/bisonpic-methods.html) vignette for more detail on the modeling approach.

## Installation

You can install the latest version of `bisonpicsuite` from [GitHub](https://github.com/poissonconsulting/bisonpicsuite) with:

``` {r, eval = FALSE}
# install.packages("remotes")
remotes::install_github("poissonconsulting/bisonpicsuite")
```

## Load

To load `bisonpicsuite`, execute the following line of code.

```{r}
library(bisonpicsuite)
```

### Packages

The packages installed and loaded by `bisonpicsuite` suite are:

- [bisonpictools](https://github.com/poissonconsulting/bisonpictools)
- [shinybisonpic](https://github.com/poissonconsulting/shinybisonpic)
- [runbisonpic](https://github.com/poissonconsulting/runbisonpic)

## Inspiration

`bisonpicsuite` was inspired by the [`tidyverse`](https://github.com/tidyverse/tidyverse) package.

## Information

Additional information is available from the [`bisonpicsuite`](https://poissonconsulting.github.io/bisonpicsuite/) and [`bisonpictools`](https://poissonconsulting.github.io/bisonpictools/) websites, which contain the following articles:

- `bisonpicsuite`
  - [Getting Started with bisonpicsuite](https://poissonconsulting.github.io/bisonpicsuite/articles/bisonpicsuite-getting-started.html)
  - [Bisonpic User Guide](https://poissonconsulting.github.io/bisonpicsuite/articles/bisonpic-user-guide.html)

- `bisonpictools`
  - [Getting Started with bisonpictools](https://poissonconsulting.github.io/bisonpictools/articles/bisonpictools-getting-started.html)
  - [Analytical Methods](https://poissonconsulting.github.io/bisonpictools/articles/bisonpic-methods.html)

## Getting Help or Reporting an Issue

To report bugs/issues/feature requests, please file an [issue](https://github.com/poissonconsulting/bisonpicsuite/issues/).

## How to Contribute

If you would like to contribute to the package, please see our 
[CONTRIBUTING](https://github.com/poissonconsulting/bisonpicsuite/blob/master/.github/CONTRIBUTING.md) guidelines.

## Code of Conduct

Please note that the `bisonpicsuite` project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.

```{r, results = "asis", echo = FALSE}
cat(bisonpictools::bpt_licensing_md())
```

Owner

JOSS Publication

bisonpicsuite: A set of R packages to estimate wood bison population parameters from remote camera data.

Published

July 17, 2025

DOI

10.21105/joss.07752

Volume 10, Issue 111, Page 7752

Authors

Nicole Hill
Poisson Consulting, Canada

Ayla Pearson
Poisson Consulting, Canada

Andrea Kortello
Poisson Consulting, Canada

Editor

Mengqi Zhao

Tags

bisonpictools runbisonpic shinybisonpic camera

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