Geovisualization of Attribute Uncertainty

نویسندگان

  • Hyeongmo Koo
  • Yongwan Chun
  • Daniel A. Griffith
چکیده

Visualization of attribute uncertainty is often necessary for a successful data analysis. However, visualization tools for uncertainty are barely available in a GIS environment. This paper aims to propose a framework for visualization methods to represent attribute uncertainty and to prototype an implementation of these methods in a standard GIS environment. These tools that are implemented using ArcGIS Engine and C# are demonstrated with ACS data.

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تاریخ انتشار 2015