For this lab, I added ABQ_Streets, StreetMapsUSA, and the 2006 Orthophotos into a new map and made sure they were projected into the same coordinate system. Next, I found 20 random points correlating to a good intersection. Then I digitized a new feature class that correlated to the true locations of the other two sets of 20 points. I used the Add XY tool to add coordinates and exported the data to Excel. In Excel, I then converted the two data sets into a 95% confidence measure using the given NSSDA Table.
My final Accuracy statement for the data sets is:
ABQ_Streets: Based on 20 test points, the positional accuracy of the ABQ_streets layer data is 36,187 feet at 95% confidence level. determined using NSSDA methodology.
StreetMapsUSA: Based on 20 test points, the positional accuracy of the Street Map USA data is 33,784 feet at 95% confidence level. determined using NSSDA methodology.
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