activity
20222024
most citedPDViz: a Visual Analytics Approach for State Policy Data

2 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing cs.HCShow all

6 papers · 1 filter

cs.HC2024

Evaluating Effectiveness of Interactivity in Contour-based Geospatial Visualizations

Abdullah-Al-Raihan Nayeem, Dongyun Han, William J. Tolone +1

Contour maps are an essential tool for exploring spatial features of the terrain, such as distance, directions, and surface gradient among the contour areas. User interactions in c…

cs.HC2024

A Survey on Exploratory Spatiotemporal Visual Analytics Approaches for Climate Science

Abdullah-Al-Raihan Nayeem, Dongyun Han, Huikyo Lee +5

Climate science produces a wealth of complex, high-dimensional, multivariate data from observations and numerical models. These data are critical for understanding climate changes…

cs.HC2024

A Survey on Visualization Approaches in Political Science for Social and Political Factors: Progress to Date and Future Opportunities

Dongyun Han, Abdullah-Al-Raihan Nayeem, Jason Windett +3

Politics is the set of activities related to strategic decision-making in groups. Political scientists study the strategic interactions between states, institutions, politicians, a…

cs.HC20232 cited

PDViz: a Visual Analytics Approach for State Policy Data

Dongyun Han, Abdullah-Al-Raihan Nayeem, Jason Windett +1

Sub-national governments across the United States implement a variety of policies to address large societal problems and needs. Many policies are picked up or adopted in other stat…

cs.HC2022

DCPViz: A Visual Analytics Approach for Downscaled Climate Projections

Abdullah-Al-Raihan Nayeem, Huikyo Lee, Dongyun Han +5

This paper introduces a novel visual analytics approach, DCPViz, to enable climate scientists to explore massive climate data interactively without requiring the upfront movement o…

cs.HC2022

Learning on Health Fairness and Environmental Justice via Interactive Visualization

Abdullah-Al-Raihan Nayeem, Ignacio Segovia-Dominguez, Huikyo Lee +5

This paper introduces an interactive visualization interface with a machine learning consensus analysis that enables the researchers to explore the impact of atmospheric and socioe…