A Review of Geospatial Content in IEEE Visualization Publications

September 07, 2020 ยท The Cartographer ยท ๐Ÿ› Visual ..

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Review of Geospatial Content in IEEE Visualization Publications"

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Authors Alexander Yoshizumi, Megan M. Coffer, Elyssa L. Collins, Mollie D. Gaines, Xiaojie Gao, Kate Jones, Ian R. McGregor, Katie A. McQuillan, Vinicius Perin, Laura M. Tomkins, Thom Worm, Laura Tateosian arXiv ID 2009.03390 Category cs.DL: Digital Libraries Cross-listed cs.HC Citations 14 Venue Visual .. Last Checked 10 days ago
Abstract
Geospatial analysis is crucial for addressing many of the world's most pressing challenges. Given this, there is immense value in improving and expanding the visualization techniques used to communicate geospatial data. In this work, we explore this important intersection -- between geospatial analytics and visualization -- by examining a set of recent IEEE VIS Conference papers (a selection from 2017-2019) to assess the inclusion of geospatial data and geospatial analyses within these papers. After removing the papers with no geospatial data, we organize the remaining literature into geospatial data domain categories and provide insight into how these categories relate to VIS Conference paper types. We also contextualize our results by investigating the use of geospatial terms in IEEE Visualization publications over the last 30 years. Our work provides an understanding of the quantity and role of geospatial subject matter in recent IEEE VIS publications and supplies a foundation for future meta-analytical work around geospatial analytics and geovisualization that may shed light on opportunities for innovation.
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