Exploring the Sensitivity of Choropleths under Attribute Uncertainty.

IEEE Transactions on Visualization and Computer Graphics(2020)

引用 17|浏览102
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摘要
The choropleth map is an essential tool for spatial data analysis. However, the underlying attribute values of a spatial unit greatly influence the statistical analyses and map classification procedures when generating a choropleth map. If the attribute values incorporate a range of uncertainty, a critical task is determining how much the uncertainty impacts both the map visualization and the stat...
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关键词
Uncertainty,Data visualization,Spatial databases,Correlation,Visual analytics,Clustering algorithms
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