The movedesign R 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 or schedule.
To assist with study design, movedesign integrates the continuous-time
methods available with the
ctmm R 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.
To install the stable version of movedesign, run the following:
install.packages("remotes")
remotes::install_github("ecoisilva/movedesign")If you encounter any issues, consult the installation troubleshooting vignette for potential solutions.
To launch movedesign, load the library and run the following command
in your R console:
library(movedesign)
movedesign::run_app()Start with the guided tutorial in the 'Home' tab. For a more detailed
introduction, refer to the
vignette
or the
manuscript.
If you encounter a bug, please submit an issue. For more general questions and suggestions, contact Inês Silva.
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.