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Activity Number: 247
Type: Contributed
Date/Time: Monday, August 1, 2016 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Graphics
Abstract #319264
Title: Optimizing Diffusion Cartograms for Areal Data Using a New Evaluation Method
Author(s): Xiaoyue Cheng*
Companies: University of Nebraska - Omaha
Keywords: diffusion cartogram ; shape distortion ; evaluation method ; graphical user interface ; R language ; Shiny app

Diffusion cartogram is a popular display for areal data. It reshapes the areas in proportion to the numerical value, while maintaining the adjacency and topology. However, the spatial integrity brings two limitations: deviation from the target size, and distortion from the recognizable shape. This research proposes a new evaluation method that can balance the shape and area accuracy in diffusion cartograms, and implements the ideas in a graphical user interface that can allow analysts to examine the effect of parameter choices on the cartogram.

Authors who are presenting talks have a * after their name.

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