Abstract
![]() Representing Data Uncertainties in Overview Maps Track: Cartography and Map Production Author(s): Kumari Gurusamy GIS specialists working in international organizations often face the challenge of putting together data with different levels of uncertainties from different countries into one global map. Census data from different countries pertain to different time periods. We can be more certain about the scenario being visualized if the data were more current. One could choose to represent the uncertainty perceived because of temporal lag using a time indicator overview map. Some countries have data at a very detailed level, whereas in certain other countries the available data is at a very poor spatial resolution. Instead of choosing to aggregate the data from good resolution to match the poor resolution available one could choose to visualize at the available scales and represent the spatial uncertainty using a scale indicator overview map. Methods for explicit representation of known uncertainties in integrated global maps helps communicate the rigor of the reality being represented. Kumari Gurusamy University at Albany, NY/Centro Internacional de la Papa - CGIAR, Lima, Peru Information Sciences(UAlbany)/GIS Lab(CIP-CGIAR) 4444 West Pine Boulevard, Apt 135 Saint Louis , MO 63108 US Phone: 314 973 2885 E-mail: kumari@albany.edu |