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ASCR_LearnR

Welcome to the ASCR_LearnR repository! This repository contains all the files necessary to run a LearnR course teaching the Acoustic Spatial Capture-Recapture (aSCR) technique with applications in R. Dive into the world of aSCR with this comprehensive tutorial which I developed as part of my master's dissertation at the University of St Andrews in Scotland.

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Acoustic SCR has emerged as a fresh and promising approach in statistical ecology. Despite its potential, the pace of its integration into the field has been relatively slow. I believe one key reason is the limited availability of accessible educational resources. This tutorial aims to bridge that gap by providing an educational platform that simplifies the aSCR methodology for practitioners without an extensive statistical background.

Contents

  • RScripts: This folder contains the necessary RScripts for each chapter of the tutorial.
  • Shiny Apps: Find standalone scripts for the Shiny apps interspersed throughout the tutorial in this folder.
  • data: Contains the datasets used in the tutorial.
  • images: This folder holds all the images used in the tutorial.
  • rmd_files: All the RMarkdown files that make up the tutorial.
  • Msters_Dissertation_Report.pdf: The wrriten report accompanying the tutorial.
  • ASCR_LearnR.Rproj: RStudio project file for easy setup.

How to Run the Tutorial

Follow these simple steps to run the tutorial on your local machine:

  1. clone of Download the Repository:

    • Either with terminal commands like shown below, or simply download it straight from GitHub
    git clone https://github.com/your-username/ASCR_LearnR.git
    
  2. Open RStudio:

    • Double-click on the ASCR_LearnR.Rproj file to open the project in RStudio.
  3. Run the Welcome File:

    • Open the welcome.Rmd file.
    • Click on the "Run Document" button in the toolbar.
  4. Or Access Online:

Explore, learn, and enjoy the world of acoustic spatial capture-recapture with ASCR_LearnR! If you have any questions or feedback, feel free to email me.

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