Multivariate Mapping
John D. Nelson
Abstract
Bivariate thematic maps are powerful tools for understanding geographic phenomena, making visible spatial associations between them. But bivariate thematic maps are more visually complex than a univariate map, a source of frustration for both map creators and map readers. Despite a variety of visual solutions for bivariate mapping, there exists few 'best practices' for selecting or implementing an appropriate bivariate map type for a given scenario. This results in a need for empirical research examining the perceptual and functional differences among bivariate mapping solutions.
Topics & Concepts
Bivariate analysisThematic mapUnivariatePerceptionConcept mapComputer scienceMultivariate statisticsThematic analysisBivariate dataPsychologyArtificial intelligenceCartographyGeographyQualitative researchMachine learningSocial scienceSociologyNeuroscienceData Visualization and AnalyticsGeographic Information Systems StudiesSpecies Distribution and Climate Change