This week we leaned how to calculate the precision and accuracy for various points. We specifically looked at precision, accuracy, and error. In part A, we calculated the precision and accuracy for GPS points. In part B, we calculated the root-mean-square error (RMSE) and cumulative distribution function (CDF) of another set of point data.
Precision refers to the consistency of the measuring implement - does the GPS collect the point in the same spot each time. In determining precision, we looked at how closely the points fell within an average location. The horizontal precision was visualized below with buffers based on where 50%, 68%, and 95% of points fell. The measurement of the 68 percentile was used to represent the both the horizontal and vertical precision. The horizontal precision is 4.5m and the vertical precision is .9m.
Meanwhile, accuracy refers to how closely a point reflects the true location - does the GPS collect the point in the spot where you want it. To determine the accuracy of the points, we measured the distance between the average recorded point location and the know location of the reference point. The horizontal accuracy is 3.7m and the vertical accuracy is 6m.
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