Expressing attribute uncertainty in spatial data using blinking regions

This paper defines a new method of attribute uncertainty representation, the blinking region. It specifically communicates uncertainty in values associated with choropleth map regions. In this way, error and attribute (census) data can be made to alternate in the user’s view, communicating both datasets. The blinking region uncertainty visualization was tested via a web-based survey. Results show that it outperforms most current visualisation of attribute uncertainty techniques (e.g. image sharpness) in terms of visual appeal, speed of comprehension and overall effectiveness. Theoretically, regions that have the most attribute error could flicker at the fastest rate, with speed of blinking being proportional to the error.