Date of Award
5-2012
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
Committee Chair(s)
Jürgen Symanzik
Committee
Christopher Corcoran
Committee
Kady Schneiter
Abstract
Statistical data often have a spatial (geographic) context, be it countries of the world, states in the US, counties within a state, cities across the globe, or locations where measurements have been taken. However, most introductory statistics books do not even suggest that such data often are not independent from location, but rather are eected by some spatial association. Remedies are simple: Display data via various map views and brie y discuss which additional information can be extracted from such a graphical representation. In this report, we will visit a variety of popular introductory statistics textbooks and show how some of the data used in examples and exercises can be initially displayed via various map views, such as choropleth maps or micromaps. Students familiar with R should be able to create similar map displays by themselves via several R packages.
Recommended Citation
Voge, Nathan, "Ignoring the Spatial Context in Intro Statistics Classes - and some Simple Graphical Remedies" (2012). All Graduate Plan B and other Reports, Spring 1920 to Spring 2023. 327.
https://digitalcommons.usu.edu/gradreports/327
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