Methane Flux Data Explorer

Welcome to the Methane Flux Data Explorer repository! This project combines powerful datasets, user-friendly design, and interactive tools to enable anyone to explore the dynamics of methane fluxes.

Running Instance of the Shiny App

You can access the deployed Shiny app at the following link: The Methane Flux Data Explorer

For the newest version (Assignemnt B4):

1. Visit the updated Methane Flux Data Explorer.
2. Select a dataset and choose your desired visualizations or filters.
3. Explore methane flux trends, analyze ecosystem variations, and export insights.
4. This version of the Methane Flux Data Explorer comes with preloaded datasets, eliminating the need for external package dependencies.

New Features

• 📊 Interactive Visualizations:
  • Line and scatter plots for temporal trends.
  • Boxplots summarizing CH₄ flux by vegetation or ecosystem type.
  • Temperature vs. CH₄ scatter plots.
• 🗺️ Dynamic Mapping:
  • Visualize CH₄ flux data points on an interactive Leaflet map.
  • Filter by dataset, date range, vegetation type, or flux range.
• 📄 Comprehensive Data Tables:
  • Explore and filter methane datasets with sortable and searchable tables.
• 🔍 Detailed Metadata:
  • Gain insights into dataset sources and methodologies directly in the app.

Datasets Acknowledgements

This app uses multiple datasets related to methane fluxes:

1. CH4 Consumption by Upland Soils (High-Resolution & Manual Measurements)

   • Voigt, Carolina; Chevrier-Dion, Charles; Marquis, Charlotte; Nesic, Zoran; Hould Gosselin, Gabriel; Saarela, Taija; Virkkala, Anna-Maria; Bennett, Kathryn A; Marushchak, Maija E; Wilcox, Evan James; Sonnentag, Oliver (2023): Atmospheric methane consumption by upland soils in the Western Canadian Arctic and Finnish Lapland (2018–2021). PANGAEA. DOI: 10.1594/PANGAEA.953120

2. CH4 Fluxes of Beringian Coastal Wetlands

   • Fuchs, Matthias; Jones, Miriam C; Gowan, Evan J; et al. (2024): Data set for modeling methane fluxes of Beringian coastal wetlands. PANGAEA. DOI: 10.1594/PANGAEA.960160

3. CH4 Fluxes from Temperate, Boreal, and Arctic Wetlands

   • Treat, Claire C; Bloom, A Anthony; Marushchak, Maija E (2018): Growing season, non-growing season, and annual CH4 fluxes from temperate, boreal, and Arctic wetlands and uplands. PANGAEA. DOI: 10.1594/PANGAEA.886976

Open and Reproducible Science

All datasets are publicly accessible via PANGAEA and acknowledged with proper citations. The app processes these data through the MethaneData package, ensuring an open and reproducible workflow.

Felden, J; Möller, L; Schindler, U; Huber, R; Schumacher, S; Koppe, R; Diepenbroek, M; Glöckner, FO (2023): PANGAEA – Data Publisher for Earth & Environmental Science. Scientific Data, 10(1), 347, https://doi.org/10.1038/s41597-023-02269-x

How to Run the App Locally

To run this app locally:

1. Clone this repository to your local machine.
2. Ensure that you have installed the necessary R packages (shiny, leaflet, ggplot2, DT, etc.).
3. Run the app using the shiny::runApp() function or by opening the app.R file in RStudio and clicking Run App.

The MethaneData Package

The MethaneData package is a custom R package designed to facilitate the loading and processing of methane flux datasets used in this app. This package provides a streamlined way to load the datasets into your R environment, ensuring a consistent and reproducible workflow for methane data analysis.

Features of the MethaneData Package

• Functions to load pre-processed datasets such as:
  • load_soilchamber_1() for high-resolution CH4 flux data.
  • load_soilchamber_2() for manual CH4 measurements.
  • load_beringian_wetlands() for CH4 flux data from Beringian coastal wetlands.
  • load_annual_estimates() for annual CH4 flux estimates from various wetland and upland ecosystems.
• Ensures data integrity by storing datasets in a standardized format within the package and thus no data downloading on your part!

Installation

To install the MethaneData package from GitHub, use:

remotes::install_github("Lyreshka/MethaneData")

For more information on data proscessing visit https://github.com/Lyreshka/MethaneData