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Visualizing Data Patterns with Micromaps (Paperback)
Loot Price: R1,403
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Visualizing Data Patterns with Micromaps (Paperback)
Series: Chapman & Hall/CRC Interdisciplinary Statistics
Expected to ship within 12 - 17 working days
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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 websiteOffering 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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