Visualizing Data Patterns with Micromaps / Edition 1

Visualizing Data Patterns with Micromaps / Edition 1

by Daniel B. Carr, Linda Williams Pickle
     
 

ISBN-10: 142007573X

ISBN-13: 9781420075731

Pub. Date: 04/23/2010

Publisher: Taylor & Francis

After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps presents the many design variations and

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Overview

After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps presents the many design variations and applications of micromaps, which link statistical information to an organized set of small maps. This full-color book helps readers simultaneously explore the statistical and geographic patterns in their data.

After illustrating the three main types of micromaps, the authors summarize the research behind the design of visualization tools that support exploration and communication of spatial data patterns. They then explain how these research findings can be applied to micromap designs in general and detail the specifics involved with linked, conditioned, and comparative micromap designs. To compare and contrast their purposes, limitations, and strengths, the final chapter applies all three of these techniques to the same demographic data for Louisiana before and after Hurricanes Katrina and Rita.

Supplementary website
Offering numerous ancillary features, the book’s website at http://mason.gmu.edu/~dcarr/Micromaps/ provides many boundary files and real data sets that address topics, such species biodiversity and alcoholism. One complete folder of data examples presents cancer statistics, risk factors, and demographic data. The site includes CCmaps, the dynamic implementation of conditioned micromaps written in Java, as well as a link to a generalized micromaps program. It also contains R functions and scripts for linked and comparative micromaps, enabling re-creation of all the corresponding examples in the book.

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Product Details

ISBN-13:
9781420075731
Publisher:
Taylor & Francis
Publication date:
04/23/2010
Series:
Chapman & Hall/CRC Interdisciplinary Statistics Series
Edition description:
New Edition
Pages:
182
Sales rank:
478,993
Product dimensions:
8.60(w) x 11.10(h) x 0.50(d)

Table of Contents

An Introduction to Micromaps
Introduction
Row-labeled plots
Linked micromaps
Conditioned micromaps
Comparative micromaps
Summary and preview of book chapters

Research Influencing Micromap Design
Influence of statistical graphics research on micromap designs
Contributions from other research areas
Human perceptual and cognitive strengths and limitations impacting data visualization
Summary

Data Visualization Design Principles
Introduction
Enabling accurate comparisons
Strive for simple appearance
Engage the analyst
Summary

Linked Micromaps
Introduction
Page layout
Data encodings
Micromap highlighting
Multivariate data
Multivariate sorting
Pushing the envelope
Software
Summary

Conditioned Micromaps
Introduction
One-way conditioned layouts
Two-way layouts
Higher order layouts
Describing and comparing groups of regions
Weighted descriptions and comparisons
Alternative views
CCmaps software options
Summary

Comparative Micromaps
Introduction
Representing change
Types of comparisons
Two-way comparisons
Rates of change
Alternative views
Summary and future directions

Putting It All Together
Summary
Exploration of Louisiana population changes after the 2005 hurricanes
Concluding remarks
Appendix 1: Data sources and notes
Appendix 2: Symmetric perceptual groupings
References

Index

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