Metadata Education Project

Minnesota GPS locations:
Data Quality Example

Excerpted from the Minnesota Land Management Information Center (LMIC) publication:
Positional Accuracy Handbook: Using the National Standard for Spatial Data Accuracy to measure and report geographic data quality (October 1999)

"Consider this increasingly common spatial data processing dilemma. An important project requires that the locations of certain public facilities be plotted onto road maps so service providers may quickly and easily drive to each point. Global Positioning System receivers use state-of-the-art satellite technology to pinpoint the required locations. To provide context, these facility locations are then laid over a digital base map containing roads, lakes and rivers. A plot of the results reveals a disturbing problem: some facilities appear to be located in the middle of lakes (see image).

Which data set is correct: the base map or the facility locations? No information about positional accuracy was provided for either data set, but intuition would lead us to believe that GPS points are much more accurate than information collected from a 1:100,000-scale paper map. Right? In this case, wrong. The GPS receivers used for this study were only accurate to within 300 feet. The base map was assumed to be accurate to within 167 feet because it complied with the 1947 National Map Accuracy Standards. In reality, the base map may be almost twice as accurate as the information gathered from a state-of-the-art network of satellites. But, how would a project manager ever be able to know this simply by looking at a display on a computer screen?"