By Daniel B. Carr
After greater than 15 years of improvement drawing on examine in cognitive psychology, statistical portraits, laptop technological know-how, and cartography, micromap designs have gotten a part of mainstream statistical visualizations. Bringing jointly the study of 2 leaders during this box, Visualizing facts styles with Micromaps provides the numerous layout adaptations and functions of micromaps, which hyperlink statistical details to an geared up set of small maps. This full-color booklet is helping readers concurrently discover the statistical and geographic styles of their information. After illustrating the 3 major forms 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 learn findings will be utilized to micromap designs regularly and element the specifics concerned with associated, conditioned, and comparative micromap designs. to match and distinction their reasons, barriers, and strengths, the ultimate bankruptcy applies all 3 of those ideas to an analogous demographic facts for Louisiana sooner than and after Hurricanes Katrina and Rita. Supplementary websiteOffering a number of ancillary beneficial properties, the book’s site at http://mason.gmu.edu/~dcarr/Micromaps/ provides many boundary documents and genuine information units that handle issues, such species biodiversity and alcoholism. One entire folder of information examples offers melanoma information, hazard components, and demographic info. the positioning comprises CCmaps, the dynamic implementation of conditioned micromaps written in Java, in addition to a hyperlink to a generalized micromaps application. It additionally includes R features and scripts for associated and comparative micromaps, permitting new edition of the entire corresponding examples within the booklet.