Loading…
This event has ended. Visit the official site or create your own event on Sched.
Click here to return to main conference site. For a one page, printable overview of the schedule, see this.
View analytic
Tuesday, June 28 • 2:30pm - 3:30pm
Making Shiny Seaworthy: A weighted smoothing model for validating oceanographic data at sea.

Log in to save this to your schedule and see who's attending!

Poster #30

The City of San Diego conducts one of the largest ocean monitoring programs in the world, covering ~340 square miles of coastal waters and sampling at sea ~150 days each year. Water quality monitoring is a cornerstone of the program and requires the use of sophisticated instrumentation to measure a suite of oceanographic parameters (e.g., temperature, depth, salinity, dissolved oxygen, pH). The various sensors or probes can be episodically temperamental, and oceanographic data can be inherently non-linear, especially within stratifications (i.e., where the water properties change rapidly with small changes in depth). This makes it difficult to distinguish between extreme observations due to natural events (anomalous data) and those due to instrumentation error (erroneous data), thus, requiring manual data validation at sea.
This Shiny app improves the manual validation process by providing a smoothing model to flag erroneous data points while including anomalous data. Standard smoothing models were unable to model stratification without including erroneous data, so we elected to use a custom weighted average model where observations with a greater deviation from the local mean have less weight.
We coupled this model with an interactive Shiny session using ggplot2 and R Portable to create an offline web application for use at sea. This Shiny app takes in a raw data file, presents a series of interactive graphs for removing/restoring potentially erroneous data, and exports a new data file. Additional customization of the Shiny interface using the shinyBS package, Javascript, and HTML improve the user experience.

Speakers
avatar for Kevin Wayne Byron

Kevin Wayne Byron

Marine Biologist, City of San Diego
I am interested in developing software and statistical tools for supporting biological research. As a Marine Biologist for the City of San Diego's Ocean Monitoring Program's IT/GIS team, my group is responsible for data base management, low-level IT support, GIS, and R coordination for the lab. In addition we spend time identifying benthic invertebrates and ocean sampling.


Tuesday June 28, 2016 2:30pm - 3:30pm
Sponsor Pavilion 326 Galvez Street Stanford, CA 94305-6105

Attendees (23)