Jennifer Mason, Penn State University
David Retchless, Penn State University
Alexander Klippel, Penn State University
In recent years, uncertainty visualization techniques have taken a larger role in research as users have begun to adopt geospatial uncertainty visualization as an efficient mode of communication. This research surveys the literature on geospatial uncertainty visualization and classifies research in this subfield into different dimensions. These dimensions were borne through a systematic review of uncertainty visualization literature, iteratively identifying major topics and grouping them into similar categories, resulting in a classification of the field. Finally, a graphic was designed reflecting this classification to both organize and conceptualize the entire research field in a new way and to efficiently assist readers in quickly grasping the topics within an uncertainty visualization research paper at a glance. This research will help people develop a more thorough understanding of uncertainty visualization research while finding gaps that researchers should attend to in the future.