  Regional Intergovernmental Organizations (RIGOs) are constituted by the local
governments within their respective regions and are supported by the active
engagement of the regions community and citizens. Metropolitan Statistical
Areas (MSAs), on the other hand, are classified by the federal government based
on commuting and commerce patterns. They do not adhere to any local government.
The Graduate School of Policy and International Affairs Center for Metropolitan
Studies (GSPIA) at the University of Pittsburgh have been researching the
boundaries of RIGOs and the characteristics defining them. In this paper, we
propose, design, and implement an approach to enhance the current visualization
by visualizing two categorical data: RIGOs and MSAs and the overlapping between
them. We attempted to use a combination of visual attributes that leverage
human perception system and do not impose cognitive and mental effort. The
overall result of the evaluation shows that our work proved to be more
effective than the current visualization.
