By Daniel B. Carr
After greater than 15 years of improvement drawing on examine in cognitive psychology, statistical images, laptop technology, and cartography, micromap designs have gotten a part of mainstream statistical visualizations. Bringing jointly the learn of 2 leaders during this box, Visualizing info styles with Micromaps offers the various layout diversifications and purposes of micromaps, which hyperlink statistical details to an geared up set of small maps. This full-color ebook is helping readers concurrently discover the statistical and geographic styles of their facts.
After illustrating the 3 major sorts of micromaps, the authors summarize the learn at the back of the layout of visualization instruments that aid exploration and verbal exchange of spatial facts styles. They then clarify how those examine findings may be utilized to micromap designs quite often and aspect the specifics concerned with associated, conditioned, and comparative micromap designs. to check and distinction their reasons, barriers, and strengths, the ultimate bankruptcy applies all 3 of those ideas to a similar demographic info for Louisiana prior to and after Hurricanes Katrina and Rita.
Offering various ancillary good points, the book’s site at http://mason.gmu.edu/~dcarr/Micromaps/ provides many boundary documents and genuine information units that deal with subject matters, such species biodiversity and alcoholism. One whole folder of knowledge examples offers melanoma information, threat components, and demographic facts. the location contains CCmaps, the dynamic implementation of conditioned micromaps written in Java, in addition to a hyperlink to a generalized micromaps application. It additionally comprises R capabilities and scripts for associated and comparative micromaps, permitting new version of all of the corresponding examples within the book.
Read Online or Download Visualizing Data Patterns with Micromaps (Chapman & Hall/CRC Interdisciplinary Statistics) PDF
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