CmlMagneville / SmaxN

SmaxN package to compute a new metric of abundance based on a network of cameras

Home Page:https://cmlmagneville.github.io/SmaxN/

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SmaxN

The SmaxN package provides a unique function to compute maximisation of abundances index. It notably helps to compute the Synchronised maxN (SmaxN) based on the use of temporally synchronised cameras.

Installation

You can install the SmaxN package from GitHub with:

## Install < remotes > package (if not already installed) ----
if (!requireNamespace("remotes", quietly = TRUE)) {
  install.packages("remotes")
}

## Install < SmaxN > package from GitHub ----
remotes::install_github("CmlMagneville/SmaxN", build_vignettes = TRUE)

To compute the SmaxN and associated metrics, users need:

  • a data frame gathering abundances values through time (rows) and cameras (columns) for the studied species
  • a data frame gathering the distance between camera pairs
  • the maximal speed of the studied species - established through laboratory experiments, based on field performance or through video measurements if stereo cameras are used

Citation

Please cite this package as:

Magneville C., Brissaud C., Fleure V., Loiseau N., Claverie T., Villeger S. (2024). A new framework for estimating abundance of animals using a network of cameras Limnology and Oceanography - Methods https://aslopubs.onlinelibrary.wiley.com/doi/full/10.1002/lom3.10606

Contributions

SV, TC, NL, VF and CM developed the conceptual thinking of the SmaxN algorithm. SV and CM developed the package architecture and CM coded the functions. CB, SV and CM tested the functions. SV and CM contributed to writing of helps and tutorials.

About

SmaxN package to compute a new metric of abundance based on a network of cameras

https://cmlmagneville.github.io/SmaxN/


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