Visualizing Data Patterns with Micromaps

TL;DR: An Introduction to Micromaps Introduction Row-labeled plots Linked micromaps Conditioned micomaps Comparative micromps Summary and preview of book chapters Research Influencing Micromap Design Influence of statistical graphics research on micromap designs Contributions from other research areas

Abstract: 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