GIS5935 Lab1 Calculating Metrics for Spatial Data Quality

 In this weeks lab we examined precision vs accuracy.  We also calculated the (RMSE) root-mean-square error and the (CDF) cumulative distribution function. In part a of our lab we were provided with data and determined the precision and accuracy metrics. The average waypoint was calculated using provided waypoints gathered from a handheld GPS unit in order to find the precision of a specific location. The average location was determined by calculating X and Y averages. 

Horizontal precision is the determination of how close together observations are. The most commonly used measurement for this calculation is the distance that includes 68% of the repeated observations. As shown in the map below the 68% horizontal precision value is 6.5 meters.  Horizontal accuracy is determined by how close the average waypoint is to the true benchmark location. For this lab the horizontal accuracy was determined to be 3.25 meters.    

Below is the map results from part a of our lab.