M1.1: Calculating Metrics for Spatial Data Quality

 For this lab, I was to determine the horizontal accuracy and precision of various data points taken with a GPS. The horizontal accuracy is determined by finding the average point from the data points taken and measuring its distance to the reference point. To determine horizontal precision, buffer zones can be used to show the distribution of the data points around the average.


The distance between the reference point and the average location point is 10.71 meters and the vertical accuracy is within 4 meters. My results used the accuracy of the GPS unit to find the point that would represent the precise point that they are centered towards but not the exact location where they should have been. In general, the points taken with the GPS are accurate but not precise.

Comments

Post a Comment

Popular posts from this blog

M4: Data Classification Lab

Image
For this week's lab, we compared four of the common data classification methods: Equal interval, standard deviation, natural breaks, and quantile. In order to compare and contrast these methods thoroughly, we needed to prepare two layouts with all four classification methods.  The map layout above is the first one that I created which shows the percentage of the various communities within the Miami-Dade area that are above 65. From left to right, the classification methods used were Equal Interval, Natural Breaks, Quantile, and Standard Deviation. There is an obvious difference between each of these in the way that the same data is represented on the map. Since the data that we are trying to accurately represent is only dealing with one variable, I believe that the natural breaks method is the best one to represent which areas house the largest population over the age of 65. it creates clean groups that can easily be interpreted. The second layout that I created, above, has the met...
Read more

Working Geometries

Image
 This week was our final assignment. For this assignment, we were to write a code to create a new text file and copy all the information for the point data for 25 features. This data included the Feature OID, Vertex ID, X coordinates, Y coordinates, and the name of the river features. I created the code below, and the images following the code show the resulting text file.
Read more