I've been working on some MATLAB scripts to come up with some analysis of this and hopefully other races using the GPS data.
Here's the track of the race.
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For the first leg, I plotted the relative angle to the mark, that is the angle between the direction of travel and the mark:
I'm trying to find a way to reduce the noise in the data, it's created due to the way I process the dirction of travel. I take the angle from the previous data point, and this tends to jump around a lot.
It's still apparent from the plot that as I got closer to the destination the rate at which the angle to the mark opens up increases. I also seem to let that angle get bigger before I tack which I'm not sure is such a good thing.
The next plot I generated is a plot of Velocity made good to the mark:
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Again, there's a lot of noise in the data, due to the angle changing a lot between data points. The red line is the mean value. It shows a little better than 5 ft/sec average VMG, which is just under 3 kts.
I tried taking out the variability in the boat speed due to gusts, etc and plotted the VMG as a percentage of current boat speed. This should in effect normalize the VMG and give insight into how well I was pointing the boat:
Although I didn't get the mean value, it appears it's above 50%. Again, it's easy to see how fast VMG changes when I was close to the mark.
Another thing I was interested in was what the 45 degree laylines were relative to the Rhumbline:
From this it's apparent I chose the right side of the course. It appears a few times that I was sailing on the headed tack on a couple of the starboard legs, but I was sailing toward the rhumbline at the time, and I tend to watch the angle to the mark more when I'm more than halfway up the course.
Posted by Bob at June 7, 2008 10:04 AM