MyNixOS website logo
Description

Study Design Toolbox for Movement Ecology Studies.

Toolbox and 'shiny' application to help researchers design movement ecology studies, focusing on two key objectives: estimating home range areas, and estimating fine-scale movement behavior, specifically speed and distance traveled. It provides interactive simulations and methodological guidance to support study planning and decision-making. The application is described in Silva et al. (2023) <doi:10.1111/2041-210X.14153>.

movedesign

CRANversion DOI
Project Status: Active – The project has reached a stable,usable state and is being activelydeveloped. R-CMD-check Hits


Overview

The movedesignR package and Shiny application are designed to support researchers in the planning and evaluation of movement ecology studies, focusing on two key targets: estimating home range areas, and estimating movement speed and distance traveled.

Movement ecology studies frequently make use of data collected from animal tracking projects. Planning a successful animal tracking project requires careful consideration and clear objectives. It is crucial to plan ahead and understand how much data is required to accurately answer your chosen research questions, and choose the optimal tracking regime/schedule.

To assist with study design, movedesign integrates the continuous-time methods available with the ctmmR package. Animal movement is inherently autocorrelated (locations are similar as a function of space and time) and the ctmm package allows us to model these data as continuous-time stochastic processes, while dealing with other known biases (such as small sample sizes, irregular or missing data, and location error).

This app was built using the golem framework.

Installation:

To install the stable version of movedesign from CRAN:

install.packages("movedesign")

To install the most recent development version directly from GitHub:

install.packages("remotes")
remotes::install_github("ecoisilva/movedesign")

If you encounter any issues, consult the installation troubleshooting vignette for potential solutions.

Running the application:

To launch movedesign, load the library and run the following command in your R console:

library(movedesign)
movedesign::run_app()

Using the application:

Start with the guided tutorial in the 'Home' tab. For a more detailed introduction, refer to the vignettes or the manuscripts (references below).

This figure presents a conceptual workflow of the key elements of the ‘movedesign’ application, which provides an R Shiny-powered user interface to test different sampling designs for specified tracking projects.

Getting help:

If you encounter a bug, please submit an issue. For more general questions and suggestions, contact Inês Silva.

Citation:

To cite movedesign, use the following:

citation("movedesign")

Silva, I., Fleming, C. H., Noonan, M. J., Fagan, W. F., & Calabrese, J. M. (2023). movedesign: Shiny R app to evaluate sampling design for animal movement studies. Methods in Ecology and Evolution, 14(9), 2216–2225. DOI: 10.1111/2041-210X.14153

Metadata

Version

0.3.2

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
    Genode
    GHCJS
    Linux
    MMIXware
    NetBSD
    none
    OpenBSD
    Redox
    Solaris
    WASI
    Windows
Show all
  • aarch64-darwin
  • aarch64-freebsd
  • aarch64-genode
  • aarch64-linux
  • aarch64-netbsd
  • aarch64-none
  • aarch64-windows
  • aarch64_be-none
  • arm-none
  • armv5tel-linux
  • armv6l-linux
  • armv6l-netbsd
  • armv6l-none
  • armv7a-linux
  • armv7a-netbsd
  • armv7l-linux
  • armv7l-netbsd
  • avr-none
  • i686-cygwin
  • i686-freebsd
  • i686-genode
  • i686-linux
  • i686-netbsd
  • i686-none
  • i686-openbsd
  • i686-windows
  • javascript-ghcjs
  • loongarch64-linux
  • m68k-linux
  • m68k-netbsd
  • m68k-none
  • microblaze-linux
  • microblaze-none
  • microblazeel-linux
  • microblazeel-none
  • mips-linux
  • mips-none
  • mips64-linux
  • mips64-none
  • mips64el-linux
  • mipsel-linux
  • mipsel-netbsd
  • mmix-mmixware
  • msp430-none
  • or1k-none
  • powerpc-netbsd
  • powerpc-none
  • powerpc64-linux
  • powerpc64le-linux
  • powerpcle-none
  • riscv32-linux
  • riscv32-netbsd
  • riscv32-none
  • riscv64-linux
  • riscv64-netbsd
  • riscv64-none
  • rx-none
  • s390-linux
  • s390-none
  • s390x-linux
  • s390x-none
  • vc4-none
  • wasm32-wasi
  • wasm64-wasi
  • x86_64-cygwin
  • x86_64-darwin
  • x86_64-freebsd
  • x86_64-genode
  • x86_64-linux
  • x86_64-netbsd
  • x86_64-none
  • x86_64-openbsd
  • x86_64-redox
  • x86_64-solaris
  • x86_64-windows