Workshops led by Wisconsin Sea Grant and the USGS Wisconsin Water Science Center titled Developing Predictive Models for your Beach: Hands-on Training, were recorded and are available below. The full training for building a complete model in Virtual Beach takes 10-12 hours.
Introduction to Predictive Modeling (0:55:01)
Basic concepts and methods of modeling beach water quality.
Model Uncertainty and Stability (0:22:19)
Overview of the major sources of model uncertainty.
Data Processing-Part 1 (0:51:19)
A. Determine the orientation of your beach
B. Import and clean up model-building data for your beach
Data Processing-Part 2 (0:34:04)
C. Process directional data (wind, currents, waves)
D. Combine two or more predictive variables
E. Transform variables and explore potential relationships
F. Save a Virtual Beach project file
Building & Evaluating ‘Anytime’ Nowcast Models (1:09:09)
A. Open a previously saved VB project file
B. Build and evaluate an anytime GBM model
C. Optimize a GBM model by removing variables
D. View a GBM model within the VB Prediction tab
E. Save a GBM model into a new VB project file
Building & Evaluating Sampling-Day Nowcast Models-Part 1 (1:09:32)
A. Build and optimize an MLR model
Building & Evaluating Sampling-Day Nowcast Models-Part 2 (1:04:25)
B. Evaluate top-rated MLR models
C. Set MLR decision criteria
D. Evaluate MLR residuals and search for influential outliers
Nowcast Prediction & Validation-Part 1 (0:32:54)
A. Create a real-time Web data services (EnDDaT) connection
B. Download real-time data to make a nowcast prediction
Nowcast Prediction & Validation-Part 2 (0:30:50)
C. Import a historical data table to validate your models
D. Save a VB model file with prediction results
