About: Geographic Voting Cluster Analysis

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A discussion of higher-dimension visualization of geographic clusters of voting patterns. Most visualizations are based on one dimensional (Democrat/Republican axis) or two-dimensional (correlation between two races, e.g. gap) relationships. It is possible to measure the "distance" between precincts in a higher dimensional space in terms of their voting patterns, where the distance is represented as sqrt( (candidate_a^2 + candidate_b^2 ...)/number of candidates)

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rdfs:label	Geographic Voting Cluster Analysis
rdfs:comment	A discussion of higher-dimension visualization of geographic clusters of voting patterns. Most visualizations are based on one dimensional (Democrat/Republican axis) or two-dimensional (correlation between two races, e.g. gap) relationships. It is possible to measure the "distance" between precincts in a higher dimensional space in terms of their voting patterns, where the distance is represented as sqrt( (candidate_a^2 + candidate_b^2 ...)/number of candidates)
dcterms:subject	Activism
abstract	A discussion of higher-dimension visualization of geographic clusters of voting patterns. Most visualizations are based on one dimensional (Democrat/Republican axis) or two-dimensional (correlation between two races, e.g. gap) relationships. It is possible to measure the "distance" between precincts in a higher dimensional space in terms of their voting patterns, where the distance is represented as sqrt( (candidate_a^2 + candidate_b^2 ...)/number of candidates)

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