New class, new tasks. This is Module 1 of Special Topics in GIS. This week we have learned about the difference between accuracy and precision. Accuracy is the absence of error and is determined by comparing a coded value in the database of interest to some independent reference value. For numerical values we can use a metric like the Root Mean Square Error to describe accuracy. Precision is, in this context, the variance of measurement. In other words, how close together are multiple observations of the same coded value? This does not use a reference value, but instead uses a metric like the standard deviation of a sample.
Below you will see 2 things: the first is a map layout from Part A of the lab where we were tasked to show accuracy and precision from projected waypoints with circular buffers of precision estimates. The second thing is the numerical results for horizontal accuracy and precision.
Numerical results: Horizontal accuracy of 4.279 and horizontal precision of 4.293
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