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Current plan of attack:
Graph both data sets on the same graph (time=x, flow speed= y). Assuming there is a direct correlation between up and downstream data, a peak in the first set will show a peak in the second set a certain amount of time down the graph. The distance between the peaks should be a function of how fast the water was moving in the first set, as the distance between the measuring stations is constant.
That should be easy… now we have to figure out how to throw GP into the mix.
The goal is to parse data from the USGS webpage related to the speed of flow of the Winooski River in Vt. We’re using two point-sources for data, one up the river at Mont Pellier and one down at the Essex River Junction. Each point comes with a massive dataset, and the goal is to find out how the data downstream varies based on the measurements taken upstream.