Download or read book Visual Perspectives and Decision-Making in Geospatial Uncertainty written by Jennifer Mason and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation addresses visual perspectives and decision-making in geospatial uncertainty and fills a gap in current research by presenting three articles in a holistic approach spanning different areas of the field. The first paper in the dissertation presents an overview of the entire field of geospatial uncertainty visualization through the creation of a typology and its visualization - the visual summary. The typology and its visualization were developed and refined based on feedback from other experts in the field, highlights smaller research domains within the entire realm and shows some of the major relationships between them. The overall usefulness of the visual summary can be shown in its ability to be used to summarize both individual papers at a glance as well as summarize the entire field. This visual summary extends current existing approaches to taxonomies by allowing users a quick visual overview of relevant topics in a research area at a glance. The second paper, an introductory article for a special issue on visually-supported reasoning under uncertainty, utilizes the visual summary as shown in paper one to show both the typology and the utility of its graphic representation for quickly summarizing each article within the field as a whole and also showing their unique contributions to the different sub-domains. It also allows for direct comparison between the three articles published in the special issue and visual identification of research topics not covered from the field.The final paper looks at various factors including individual differences and different map characteristics to identify their relationship in making evacuation decisions. This was conducted through an iterative process in which results from the first study informed the two subsequent studies to compose a more synergistic and comprehensive understanding of decision-making under uncertainty for an approaching hurricane. Study one showed that having more certainty in flooding correlated to higher evacuation rates with marginal significance. Participants also paid attention to the flood height category, stating they would choose to evacuate most in the highest flood height zone closest to the ocean and least in the lowest blue flood height zone found farthest from the ocean. Evacuation rates were also higher overall in a mild flood scenario over a more severe scenario. This led to exploring the maps further and finding that by using real data, the mild flood scenario a lower flood height zone was adjacent to the ocean instead of the highest flood height zone, potentially influencing the results. In study two, the maps in the mild flood scenario were redrawn to close the gap in the highest flood zone so that only this zone occurred adjacent to the ocean. The data showed that participants again evacuate more in the higher flood zones and mild flood scenarios. Study three attempted to disentangle how distance to the ocean and the flood height zones impacted decisions. The results revealed that participants chose to evacuate more when closer to the flood source (i.e. ocean), and once farther from the source, they use flood height as a strategy for choosing when to evacuate.