Matching Items (4)
Description
Decision makers contend with uncertainty when working through complex decision problems. Yet uncertainty visualization, and tools for working with uncertainty in GIS, are not widely used or requested in decision support. This dissertation suggests a disjoint exists between practice and research that stems from differences in how visualization researchers conceptualize uncertainty and how decision makers frame uncertainty. To bridge this gap between practice and research, this dissertation explores uncertainty visualization as a means for reframing uncertainty in geographic information systems for use in policy decision support through three connected topics. Initially, this research explores visualizing the relationship between uncertainty and policy outcomes as a means for incorporating policymakers' decision frames when visualizing uncertainty. Outcome spaces are presented as a method to represent the effect of uncertainty on policy outcomes. This method of uncertainty visualization acts as an uncertainty map, representing all possible outcomes for specific policy decisions. This conceptual model incorporates two variables, but implicit uncertainty can be extended to multivariate representations. Subsequently, this work presented a new conceptualization of uncertainty, termed explicit and implicit, that integrates decision makers' framing of uncertainty into uncertainty visualization. Explicit uncertainty is seen as being separate from the policy outcomes, being described or displayed separately from the underlying data. In contrast, implicit uncertainty links uncertainty to decision outcomes, and while understood, it is not displayed separately from the data. The distinction between explicit and implicit is illustrated through several examples of uncertainty visualization founded in decision science theory. Lastly, the final topic assesses outcome spaces for communicating uncertainty though a human subject study. This study evaluates the effectiveness of the implicit uncertainty visualization method for communicating uncertainty for policy decision support. The results suggest that implicit uncertainty visualization successfully communicates uncertainty in results, even though uncertainty is not explicitly shown. Participants also found the implicit visualization effective for evaluating policy outcomes. Interestingly, participants also found the explicit uncertainty visualization to be effective for evaluating the policy outcomes, results that conflict with prior research.
ContributorsDeitrick, Stephanie (Author) / Wentz, Elizabeth (Thesis advisor) / Goodchild, Michael (Committee member) / Edsall, Robert (Committee member) / Gober, Patricia (Committee member) / Arizona State University (Publisher)
Created2013
DescriptionOfficial program of the Mapping Grand Canyon Conference. Document was designed and optimized for digital dissemination and mobile device (smartphone, tablet) viewing and interactive browsing. Document was deliberately not printed in paper format with the intent of minimizing the event's ecological footprint through a reduction of paper and ink waste.
ContributorsWatson, Amy Carolyn (Compiler, Designer) / Toro, Matthew (Compiler, Cartographer) / Avila, Theresa (Contributor) / Field, Kenneth (Contributor) / Fry, Michael (Contributor) / Griffin, Dori (Contributor) / Kaplinski, Matt (Contributor) / Karlstrom, Karl (Contributor) / Manone, Mark (Contributor) / Oetting, Ed (Contributor) / Patterson, Tom (Contributor) / Quartaroli, Richard David (Contributor) / Runge, Peter (Contributor) / Semken, Steve (Contributor) / Smilovsky, Nikolas (Contributor) / Smith, Stephanie (Contributor) / Spindler, Rob (Contributor) / Trapido-Lurie, Barbara (Contributor) / Upchurch, Jonathan (Contributor) / Deitrick, Stephanie (Contributor) / Lemar, Shea (Contributor) / Messinger, Ellen Murray (Contributor) / Sherwood, Jill (Contributor) / Wilhelm, Karina (Contributor)
Created2019-02
Tracing the History of Native American Communities in Relation to the Grand Canyon – Video Recording
Description
Historical narratives of the United States often disregard indigenous communities, and typically describe the colonization of the Americas through the lens of European explorers and US westward expansion as Manifest Destiny. Case in point, Arizona history typically starts in the year 1912 when statehood was granted, as if nothing of relevance to the region occurred prior. However, if we are to genuinely (re)examine the complex history of the development and representation of the Grand Canyon then we are must consider the relationship and representation of indigenous communities within the context of this site. To gain a better understanding of how images affect our concepts of nature, nation, and citizenship this paper analyzes illustrations of both the Grand Canyon and indigenous communities of the region. Moving away from traditional concepts of mapping, this paper traces the representation of indigenous communities of the Grand Canyon within a range of mediums including maps, prints, and photographs. The scope of images considered here will be select and limited to “known” or “famous” images of the Grand Canyon. A review of the development of the Grand Canyon as a national monument and park, as well as of US policies on indigenous communities serve to contextualize the images examined here.
ContributorsAvila, Theresa (Author, Speaker) / ASU Marketing Hub (Videographer)
Created2019-02-28
Description
Digital transformation can be defined as, “the acceleration of business activities, processes, competencies, and models to fully leverage the changes and opportunities of digital technologies and their impact in a strategic and prioritized way,” (Edmead, Mark, and IDG Contributor Network, 2016). Following the industrial revolution, digital transformation has taken shape as the current revolution and innovative process. When industry’s and businesses engage in digital transformation, they create disruption and pave the way for enhanced customer value, efficient operational processes, and innovative business models. The prospect of this thesis is to: (1) understand how digital transformation strategy helps to propel innovation for the self-driving car, (2) understand how this innovation will create value in the grand schema for digital transformation, (3) develop a GIS-based (location analytics) study to understand the market opportunity for such technology and innovation. We outline how digital transformation as a whole represents a modern form of creative destruction, that is rewarding to businesses who engage in transformation for efficiency and innovation, and addresses the implications of those that do not. We discuss how digital transformation has affected the auto industry to invest in innovating self-driving cars. Finally, we perform location analytics to develop an opportunity analysis in five big markets around the Phoenix Metropolitan area in the State of Arizona to identify the potential markets for self-driving cars. We conclude this study with a discussion on how technology strategy is transforming the world.
ContributorsReichman, Allison (Author) / Satpathy, Asish (Thesis director) / Deitrick, Stephanie (Committee member) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2019-12