Hi there! I work in the National Estuarine Research Reserve System as the System-Wide Monitoring (SWMP) Program Manager at the Guana Tolomato Matanzas NERR in St. Augustine, FL. This program collects 15-minute continuous water quality and weather data and therefore, I quickly jumped into R programming in order to be able to tackle working with this data (reaching the end of an Excel spreadsheet was a moment for me).

📫 How to reach me: email is best @ Shannon.Dunnigan@dep.state.fl.us Check out my resume here.

• I am currently analyzing 20-years of monthly chlorophyll-a data from two long-term monitoring programs in the St. Augustine region gtm-chla-20yr using generalized additive models, mixed-meta regression analysis, and decomposition of timeseries for seasonality.

• I recently published a manuscript analyzing six years of monthly oyster spat monitoring in the Guana Tolomato Matanzas estuary spat using generalized linear models and pairing these patterns with continuous water quality data in similar areas.

• I am the primary administrator for the GTMNERR organization on GitHub.

• 🔬 I am integrating Quarto and GitHub with my team in our projects and helping to develop functional workflows for varying experience levels on the teams.

  • Check out the GTMNERR SWMP quarterly report GTMNERR/swmp-quarter-report or 2023 Annual Report GTMNERR/2023-swmp-annual-report for examples.

• 2016 - present: System-Wide Monitoring Program (SWMP) Manager (Guana Tolomato Matanzas NERR), contracted through University of North Florida.
• 2020 - 2022: Data Manager for NERRS Science Collaborative Catalyst project "Refining techniques for high-frequency monitoring of chlorophyll in the NERRS". The project code is here chla-nerrs-catalyst and includes my first attempt at a GitHub Pages site built with R Markdown! (💃Personal achievement!)
• 2013 - 2021: Adjunct Instructor (University of North Florida)
• 2015 - 2016: Oyster Condition Assessment Field Technician (Florida Department of Environmental Protection)

I strive to make programming less intimidating for beginners and to help people with their R-programming and data science workflows! My favorite things to teach are data visualizations. See some of my teaching experience below:

• 2022
  • Data Visualization: a workshop I created and led on 2022 January 27-28 as part of a series of R workshops sponsored by the Gulf and Florida National Estuarine Research Reserves (NERRs). Materials at 2022-01_data-viz-workshop
• 2021
  • R For the Infrequent UseR (virtual): a workshop I taught on 2021 September 23-24 as part of a series of R workshops sponsored by the Gulf and Florida National Estuarine Research Reserves (NERRs). Materials at 2021-infrequent-useR
• 2020
  • Integrating R into your work with RStudio and the tidyverse (virtual): a workshop I co-taught with Kim Cressman that was split into four days and covered data visualization, wrangling, and basic statistical outputs on 2020 June 18-19 and 25-26 hosted by the Guana Tolomato Matanzas NERR. Materials at 2020-06_IntegrateR
  • Integrating R into your work with RStudio and the tidyverse (in-person): a workshop I co-taught with Kim Cressman in Moss Point, MS that covered data visualization, wrangling, and basic statistical outputs on 2020 February 19-20 hosted by the Grand Bay NERR. Materials at: swmpkim/2020-02_GBNERR_Rworkshop
• 2019
  • The Next Step with R: Data Management, Graphics, and Functions: Coastal and Estuarine Research Federation (CERF) 2019 Biennial Conference workshop, 2019 November 3 in Mobile, AL co-taught with Kim Cressman

• MS (2015): Biology with Coastal Biology Focus (UNF)
• BS (2012): Biological Science with certificate in Living Marine Resources (FSU)