Water resources professionals face a daunting problem – how to decide which of 170+ different hydrologic metrics to use when quantifying and displaying the streamflow properties of magnitude, frequency, duration, timing, and rate of change. Many of these metrics do not take data order into account and have trouble addressing an underlying hydrologic property, the temporal configuration of streamflow.
In this webinar our guest presenter, Rick Koehler, the CEO of Visual Data Analytics LLC, to see how he solves this problem using Grapher. His new approach allows him to visualize and summarize streamflow properties, including configuration, effectively.
Links mentioned
- (46:00) | Displaying and Analyzing Streamflow Forecasts Using Surfer (Webinar)
- (46:00) | Analyze Streamflow Data Using Surfer's Grid Correlogram (Webinar)
- (46:00) | Data Visualization and Analysis of Time Series Using Surfer (Webinar)
Length 48:29
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