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Recent Releases of water-level-analysis-di-and-fcm

water-level-analysis-di-and-fcm - Water-level-analysis-DI-and-FCM-1.0.8

This is the an updatedd release of the Water Level Analysis Toolkit, an R-based workflow for analyzing hydrological data from coastal marsh ecosystems. It includes code, data, and documentation to support:

Importing and cleaning logger data Converting logger depth to water surface elevation Visualizing hydroperiod vs. elevation relationships Analyze hydrological stress with plant performance curves to hydroperiod

The code and data was used in supporting the findings of research paper: Qi and Gedan, Tidal attenuation and poor drainage condition make interior microtidal marshes vulnearable to sea level rise

- R
Published by ManQiEcology 6 months ago

water-level-analysis-di-and-fcm - Water Level Analysis Toolkit v1.0.7

This is the latest version from intial fullrelease with code for figures in Appendix added.- Man Qi, April 9th 2025

Water Level Analysis Toolkit, an R-based workflow for analyzing hydrological data from coastal marsh ecosystems. It includes code, data, and documentation to support:

Importing and cleaning logger data Converting logger depth to water surface elevation Visualizing hydroperiod vs. elevation relationships Analyze hydrological stress with plant performance curves to hydroperiod 📁 Contents Code/: All R scripts used for data cleaning, modeling, and visualization Data/: Raw and processed water level datasets for Deal Island (DI) and Farm Creek Marsh (FCM) Result/: Figures generated by the code Well info.txt: Metadata for well installation and logger positioning README.md: Project overview, dependencies, and execution instructions 💡 Key Features Hydroperiod estimation from water level data Site comparison for healthy, dieback, pond, and tidal creek zones Integration of flood tolerance data for interpretation Clear code structure for adaptation to other field datasets 🚀 How to Use Clone the repository Run the scripts under `Code/ regardless of order Review outputs and adjust input parameters as needed 📌 Notes Water level data are provided in both .csv and .xlsx formats FCM pond data were collected by USGS (unit: feet, datum: NAVD88) Requires R ≥ 4.2.0 and packages: tidyverse, ggplot2, lubridate, ggrepel, etc. 🧑‍🔬 Author Man Qi Marie Skłodowska-Curie Fellow, University of Oxford Email: man.qi@biology.ox.ac.uk Website: https://manqiinecology.weebly.com/

- R
Published by ManQiEcology 11 months ago

water-level-analysis-di-and-fcm - Initial Release – Water Level Analysis Toolkit v1.0

Overview

This is the first full release of the Water Level Analysis Toolkit, an R-based workflow for analyzing hydrological data from coastal marsh ecosystems. It includes code, data, and documentation to support:

  • Importing and cleaning logger data
  • Converting logger depth to water surface elevation
  • Visualizing hydroperiod vs. elevation relationships
  • Analyze hydrological stress with plant performance curves to hydroperiod

📁 Contents

  • Code/: All R scripts used for data cleaning, modeling, and visualization
  • Data/: Raw and processed water level datasets for Deal Island (DI) and Farm Creek Marsh (FCM)
  • - Result/: Figures generated by the code
  • Well info.txt: Metadata for well installation and logger positioning
  • README.md: Project overview, dependencies, and execution instructions

💡 Key Features

  • Hydroperiod estimation from water level data
  • Site comparison for healthy, dieback, pond, and tidal creek zones
  • Integration of flood tolerance data for interpretation
  • Clear code structure for adaptation to other field datasets

🚀 How to Use

  1. Clone the repository
  2. Run the scripts under `Code/ regardless of order
  3. Review outputs and adjust input parameters as needed

📌 Notes

  • Water level data are provided in both .csv and .xlsx formats
  • FCM pond data were collected by USGS (unit: feet, datum: NAVD88)
  • Requires R ≥ 4.2.0 and packages: tidyverse, ggplot2, lubridate, ggrepel, etc.

🧑‍🔬 Author

Man Qi
Marie Skłodowska-Curie Fellow, University of Oxford
Email: man.qi@biology.ox.ac.uk
Website: https://manqiinecology.weebly.com

- R
Published by ManQiEcology 11 months ago