11 citations · 19 across the 5 of their papers we have counts for
5 papers
The Impact of Uncertainty Visualization on Trust in Thematic Maps
Varun Srivastava, Fan Lei, Alan M. MacEachren +1
Thematic maps are widely used to communicate spatial patterns to non-expert audiences. Although uncertainty is inherent in thematic map data, it is rarely visualized, raising quest…
Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation
Arlen Fan, Fan Lei, Michelle Mancenido +2
Maps are crucial in conveying geospatial data in diverse contexts such as news and scientific reports. This research, utilizing thematic maps, probes deeper into the underexplored…
GeoLinter: A Linting Framework for Choropleth Maps
Fan Lei, Arlen Fan, Alan M. MacEachren +1
Visualization linting is a proven effective tool in assisting users to follow established visualization guidelines. Despite its success, visualization linting for choropleth maps,…
Exploring Descriptions of Movement Through Geovisual Analytics
Scott Pezanowski, Prasenjit Mitra, Alan M. MacEachren
Sensemaking using automatically extracted information from text is a challenging problem. In this paper, we address a specific type of information extraction, namely extracting inf…
Differentiating Geographic Movement Described in Text Documents
Scott Pezanowski, Alan M. MacEachren, Prasenjit Mitra
Understanding movement described in text documents is important since text descriptions of movement contain a wealth of geographic and contextual information about the movement of…