This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 535
Type: Contributed
Date/Time: Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Graphics
Abstract - #307936
Title: Visualizing Data Patterns with Micromaps
Author(s): Daniel B. Carr* and Linda Williams Pickle+
Companies: George Mason University and StatNet Consulting LLC
Address: 20203 Goshen Rd., No. 189, Gaithersburg, MD, 20879,
Keywords: spatial patterns ; graphics ; maps

Micromaps are graphics that link statistical information to an organized set of small maps in order to explore and communicate patterns in variables and their corresponding geographic locations. Different types of micromaps address different visualization tasks. The linked micromap design uses perceptual grouping and color to link statistical graphics to small maps for data exploration and communication. The conditioned micromap design uses color and two-way conditioning to partition a single color-coded map into an organized grid of conditioned maps for data exploration and hypothesis generation. Comparative micromaps show patterns in one- and two-way sequences of maps such as time series, augmented by additional maps showing explicit changes between the adjacent pairs of the original maps. We illustrate these designs by presenting micromaps of health, population and baseball data.

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