1.2 Standards

 

In this lab after adding all of the files I took the time to scope out the best quadrant I could find to fit in all of my points into a decent gridded area. The picture above details the area I found and used for my 20 points with this only detailing the test points from the city file (green line) that we used. We also then added the points for the street maps (redline) which I found to be very off from the intersections which we had to also create another point file to mark what we perceived as the center of the intersection. We then had to add in the coordinates which we a bit difficult to get put together. This allowed us to start the accuracy assessment where I had a excel table with a various amount of different formulas that I had to use the data acquired from the 3 point files to fill out. This allowed us to acquire a accuracy assessment where we verified different distances of points from the projected reference point. This was a very useful lab which utilized a lot of excel work which is great for plunging in formulas and to do multiple columns of problems by just plugging in one line of code. 

The accuracy assessment is as follows:

City Points:

Horizontal positional accuracy: Using the National Standard for Spatial Data Accuracy, the data set tested 11.99 feet horizontal accuracy at 95% confidence level.

 

Street map Points:

Horizontal positional accuracy: Using the National Standard for Spatial Data Accuracy, the data set tested 117.35 feet horizontal accuracy at 95% confidence level.