3 papers
cs.HC2025
Exploropleth: exploratory analysis of data binning methods in choropleth maps
Arpit Narechania, Alex Endert, Clio Andris
When creating choropleth maps, mapmakers often bin (i.e., group, classify) quantitative data values into groups to help show that certain areas fall within a similar range of value…
cs.HC2025
Cartographers in Cubicles: How Training and Preferences of Mapmakers Interplay with Structures and Norms in Not-for-Profit Organizations
Arpit Narechania, Alex Endert, Clio Andris
Choropleth maps are a common and effective way to visualize geographic thematic data. Although cartographers have established many principles about map design, data binning and col…
physics.data-an2011
Weighted Radial Variation for Node Feature Classification
C. Andris
Connections created from a node-edge matrix have been traditionally difficult to visualize and analyze because of the number of flows to be rendered in a limited feature or cartogr…