Code Monkey home page Code Monkey logo

mmrefpoints's Introduction

mmrefpoints: Projecting long-term marine mammal abundance with bycatch

Lifecycle: experimental

mmrefpoints is an R package that generates marine mammal population projections based on starting abundance, life history, and bycatch rates, based on the BALEEN II population dynamics model.

Authors

Margaret C. Siple
André E. Punt
Tessa B. Francis
Phil S. Hammond
Dennis Heinemann
Kristy J. Long
Jeffrey E. Moore
Maritza Sepulveda
Randall R. Reeves
Guðjón Már Sigurðsson
Gísli Víkingsson
Paul R. Wade
Rob Williams
Alexandre N. Zerbini

Contents

Details

This R package contains the functions used in the Marine Mammal Bycatch Impacts Exploration Tool (mmBIET), a Shiny app built by Margaret Siple and André Punt for the Ocean Modeling Forum’s Marine Mammal Bycatch Working Group. The app is available here. The functions in this package, and the app, are both intended to be used in cases where data on bycatch and/or population status are sparse or unavailable.

Our target audience is stakeholders interested in projecting marine mammal populations to examine the impacts of bycatch. Those code could also be used as a teaching tool, or for anyone who is more familiar with R than FORTRAN and wants to use some components of the BALEEN II model (Punt 1999).

Install

This package can be downloaded directly from GitHub:

devtools::install_github("mcsiple/mmrefpoints")

Contributing contributions welcome

We would like this package to be sustainable in the long term and welcome contributions. If you encounter a bug, please leave a note on the Issues page. You can also leave comments there about additional functionality. If you are interested in contributing, we direct you to the R package contribution advice from Hadley Wickham.

Accessing the mmBIET Shiny app

The functions in this package can also be accessed through the Shiny app for this project, which is located online here. The app provides an easy way to explore outcomes and print out a report with inputs and outputs.

screenshot1

References

Punt, A. E. 1999. Annex R: A full description of the standard Baleen II model and some variants thereof. Division of Marine Research, CSIRO Marine Laboratories, Hobart, Australia. Available from https://duwamish.lib.washington.edu/uwnetid/illiad.dll?Action=10&Form=75&Value=1651729 (accessed August 7, 2018).

Citation (t.b.d.)

Margaret C. Siple, André E. Punt, Tessa B. Francis, Phil S. Hammond, Dennis Heinemann, Kristy J. Long, Jeff Moore, Maritza Sepulveda, Randall R. Reeves, Guðjón Már Sigurðsson, Gísli Víkingsson, Paul R. Wade, Rob Williams, and Alexandre N. Zerbini (t.b.d.). ltbycatch: Projecting long-term marine mammal abundance with bycatch. R package version 1.0.0. url: https://github.com/mcsiple/ltbycatch

mmrefpoints's People

Contributors

mcsiple avatar vincentguyader avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.