This weeks lab was on Data Quality - Standards
We learned about various spatial data quality standards focusing on the National Map Accuracy Standards (NMAS), and National Standards for Spatial Data Accuracy (NSSDA). The NSSDA is one o the most recent standards to be issued by the Federal Geographic Data Committee (Minnesota Planning Land Management Information Center, 2019) Specific metrics that are used when measuring positional accuracy within these standards, such as: Sum; Average; Root Mean Square Error (RMSE); 68th, 90th, and/or 95th percentile.
We were provided with 2 sets of street map data. We used orthophotos as reference to select and digitize a set of points (20) which we would use to test the accuracy of the two provided street map layers. The points chosen were primarily T-intersections. The points were equally distributed throughout the map. As our study area was relatively square I chose to divide it into four quadrants and select five points in each one.
Below you can see the even distribution of my manually selected reference points in yellow. The two provided street map layers are in pink and green.

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