Visualizing Data Patterns with Micromaps

Micromap designs are becoming part of mainstream statistical visualizations, combining research from cognitive psychology, statistical graphics, computer science, and cartography. Visualizing Data Patterns with Micromaps presents design variations and applications of micromaps, helping readers explore statistical and geographic patterns in their data. The book offers ancillary features on its website, including boundary files and real data sets, and provides CCmaps, a dynamic implementation of conditioned micromaps, and R functions and scripts for linked and comparative micromaps.

Format: Paperback / softback
Length: 182 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd

After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming an integral 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 books website at http://mason.gmu.edu/~dcarr/Micromaps/ provides many boundary files and real data sets that address topics, such as 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.

Weight: 340g
Dimension: 280 x 210 (mm)
ISBN-13: 9781032477671