GIS5935 Lab 2: Determining Quality of Road Networks

This lab was a test for the horizontal accuracy of two network datasets for the city of Albuquerque, New Mexico. The first one is a StreetMap USA network, compiled from TIGER 2000 data. The second one, ABQ_Streets is centerline data provided by the City of Albuquerque Planning Department. The independent dataset used was a digitized shapefile for all of the test points (27 intersections), that was created using digital orthophotos from 2006. First, 27 well-defined locations were determined that were intersections in both datasets. Then the "true" intersection was determined using the orthophotos. Then the X and Y coordinates for all three datasets (independent, StreetmapUSA, and ABQ_Streets) were added and and the NSSDA statistics were determined. Sampling locations can be seen below:

Horizontal Positional Accuracy:

Using the national standard for spatial data accuracy, the ABQ_Streets dataset tested 22.908 feet horizontal accuracy at 95% confidence level.

the StreetMap_USA dataset tested 147.857 feet horizontal accuracy at 95% confidence level.