Jin Chen
Pennsylvania State University
11 Papers
119 Citations
Jin Chen is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Information visualization & Visual analytics. The author has an hindex of 8, co-authored 11 publications.
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Papers
Geovisual analytics to enhance spatial scan statistic interpretation: an analysis of U.S. cervical cancer mortality
TL;DR: The geovisual analytics approach described in this manuscript facilitates the interpretation of spatial cluster detection methods by providing cartographic representation of SaTScan results and by providing visualization methods and tools that support selection ofSaTScan parameters.
Combining Usability Techniques to Design Geovisualization Tools for Epidemiology
TL;DR: A wide range of techniques in the design of ESTAT, an exploratory geovisualization toolkit for epidemiology include; verbal protocol analysis, card-sorting, focus groups, and an in-depth case study.
Supporting the Process of Exploring and Interpreting Space-Time Multivariate Patterns: The Visual Inquiry Toolkit.
TL;DR: A visual analytics approach that leverages human expertise with visual, computational, and cartographic methods to support the application of visual analytics to relatively large spatio-temporal, multivariate data sets is developed.
Constructing Overview + Detail Dendrogram-Matrix Views
TL;DR: The research presented here focuses on constructing a concise overview dendrogram and its coordination with a detail view, evaluating and comparing the proposed method to some related existing methods, and demonstrating how it can help users find interesting patterns through a case study on county-level U.S. cervical cancer mortality and demographic data.
Visually-enabled geocollaboration to support data exploration & decision-making
Alan M. MacEachren,Isaac Brewer,Guoray Cai,Jin Chen +3 more
- 01 Jan 2003
TL;DR: A comprehensive conceptual approach to geocollaboration is applied to a range of prototype systems that support both same- and different-place group activities that mediate distributed thinking and decision-making through use of large-screen displays supporting multi-user, natural interaction.
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