11 citations · 13 across the 7 of their papers we have counts for
7 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…
Skeptik: A Hybrid Framework for Combating Potential Misinformation in Journalism
Arlen Fan, Fan Lei, Steven R. Corman +1
The proliferation of misinformation in journalism, often stemming from flawed reasoning and logical fallacies, poses significant challenges to public understanding and trust in new…
MapIQ: Evaluating Multimodal Large Language Models for Map Question Answering
Varun Srivastava, Fan Lei, Srija Mukhopadhyay +2
Recent advancements in multimodal large language models (MLLMs) have driven researchers to explore how well these models read data visualizations, e.g., bar charts, scatter plots.…
FEWSim: A Visual Analytic Framework for Exploring the Nexus of Food-Energy-Water Simulations
Fan Lei, David A. Sampson, Jiayi Hong +5
The interdependencies of food, energy, and water (FEW) systems create a nexus opportunity to explore the strengths and vulnerabilities of individual and cross-sector interactions w…
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,…
GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Generation
Fan Lei, Yuxin Ma, Stewart Fotheringham +5
Geographic regression models of various descriptions are often applied to identify patterns and anomalies in the determinants of spatially distributed observations. These types of…