Bivariate Statistical Legends: Mapping Examples on Florida Covariance Data using Scatterplots from Open Source Visual Analytic Tools

The Florida Geographer

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Field Value
 
Title Bivariate Statistical Legends: Mapping Examples on Florida Covariance Data using Scatterplots from Open Source Visual Analytic Tools
 
Creator Strode, Georgianna; Florida State University
Thornton, Benjamin; Florida State University
Mesev, Victor; Florida State University
Johnson, Nathan; Florida State University
 
Subject

 
Description Maps representing two variables sometimes use a single combined, or bivariate legend to improve clarity when comparing relationships, and to avoid less convenient side-by-side legends. However, conventional bivariate legends typically omit the underlying bivariate distributions. Using simple scatterplots statistical indicators of covariance can be plotted as points directly on to the choropleth bivariate legend. This allows map readers to not only compare aggregate magnitudes between the two variables but also visualize disaggregate distributions that may represent statistical normality in the data as well as skewness, and linearity. In addition, the covariance distributions can direct class interval selection, or at least inform the reader of which classes represent data abundance or data sparsity. Bivariate statistical legends are tested using examples drawn from Florida population census data at the fine scale of block groups. Practicality is demonstrated by open source software using Data Driven Documents (D3) visual analytic software (http://d3js.org).
 
Publisher The Florida Geographer
 
Contributor
 
Date 2016-07-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://journals.fcla.edu/flgeog/article/view/88313
 
Source The Florida Geographer; Vol 47 (2016): The Florida Geographer
0739-0041
 
Language eng
 
Relation http://journals.fcla.edu/flgeog/article/view/88313/84875
 

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