R
Robert E. Roth
Researcher at University of Wisconsin-Madison
Publications - 68
Citations - 2350
Robert E. Roth is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Geovisualization & Usability. The author has an hindex of 22, co-authored 65 publications receiving 1918 citations. Previous affiliations of Robert E. Roth include University of Twente & Pennsylvania State University.
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Journal ArticleDOI
Visual Semiotics a Uncertainty Visualization: An Empirical Study
TL;DR: Two linked empirical studies focused on uncertainty visualization suggest initial guidelines for representing uncertainty and discussion focuses on practical applicability of results.
Journal ArticleDOI
The Neotoma Paleoecology Database, a multiproxy, international, community-curated data resource
John W. Williams,Eric C. Grimm,Jessica L. Blois,Donald F. Charles,Edward Byrd Davis,Simon Goring,Russell W. Graham,Alison J. Smith,Michael W. Anderson,Joaquín Arroyo-Cabrales,Allan C. Ashworth,Julio L. Betancourt,Brian Bills,Robert K. Booth,Philip I. Buckland,B. Brandon Curry,Thomas Giesecke,Stephen T. Jackson,Stephen T. Jackson,Claudio Latorre,Jonathan E. Nichols,Timshel Purdum,Timshel Purdum,Robert E. Roth,Michael P. Stryker,Hikaru Takahara +25 more
TL;DR: The Neotoma Paleoecology Database as mentioned in this paper is a community-curated data resource that supports interdisciplinary global change research by enabling broad-scale studies of taxon and community diversity, distr...
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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.
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An Empirically-Derived Taxonomy of Interaction Primitives for Interactive Cartography and Geovisualization
TL;DR: A functional taxonomy of interaction primitives for map-based visualization is developed that offers an empirically-derived and ecologically-valid structure to inform future research and design on interaction.
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Interactive maps: What we know and what we need to know
TL;DR: A review of the current state of science regarding cartographic interaction is provided, a complement to the traditional focus within cartography on cartographic rep- resentation.