Module 1 - Fundamentals

    This week, in the first Special Topics in Geographic Science lab, was about Fundamentals of data accuracy and precision. 

    In this classes lab we preformed analysis on a GPS data in order to determine how precise and accurate our data was to the reference points. As you can see in the map below we used the points given to make an average point which we used to make a precision buffer of 50, 68 and 90 percentiles. The 68 percentile is what we use for the majority of the lab but it does later lie close horizontally to our reference point. 

    For my horizontal accuracy, the distance was 3.25 m. For the horizontal precision, we got 4.4 m. Between these two sets of data we know that out data is accurate with as our reference points lies within out horizontal precision, but due to the rest of our waypoints being farther away from each other does mean our precision is lacking. 

    Why this is is because with accuracy, there is less errors and the data is closer to the true value. Whereas with precision, we want not that much variance and to have our data to be closer around the standard deviation of the mean (which is the average/middle point of the data).