A Review of Geospatial Content in IEEE Visualization Publications
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

TL;DR
This paper reviews recent IEEE VIS publications to analyze the inclusion and role of geospatial data and analyses, highlighting trends and providing a foundation for future research in geospatial visualization.
Contribution
It offers a systematic assessment of geospatial content in IEEE VIS papers from 2017-2019 and contextualizes trends over the past 30 years.
Findings
Geospatial data appears in a significant subset of recent papers.
Categories of geospatial data relate to specific visualization techniques.
The use of geospatial terminology has increased over 30 years.
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…
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Taxonomy
TopicsData Visualization and Analytics · Data Management and Algorithms · Geographic Information Systems Studies
