Module 1.2: Data Quality
How accurate is data? Many times, we receive data, and as we make the assumption that the data is accurately applied into ArcPro, it is not always the case. The National Standard for Spatial Data Accuracy (NSSDA) creates a methodology to measure and describe the positional accuracy of data features. For our lab assignment, we were given two data sets for roads from USA street data and ABQ street data of Albuquerque, New Mexico. In order to analyze the road data, we were instructed to create 20 points to serve as reference according to the areial imagery. Then gathering intersection points from the USA street data and the ABQ street data and gathering their XY coordinates to enter into excel to calculate SUM, AVERAGE, Root Mean Square Error (RMSE) values. SUM - The set of the squared differences between the test and the independent data sets. AVERAGE - The average of the sum. ROOT MEAN SQUARE ERROR - The square root of the average. To find the RMSE val...