Matching Items (6)
Filtering by

Clear all filters

151549-Thumbnail Image.png

Implicit visualization as usable science visualizing uncertainty as decision outcomes

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…

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
149132-Thumbnail Image.png

Colorado River Campsite Monitoring, Grand Canyon National Park, Arizona, 1998–2012

Description

River rafting trips and hikers use sandbars along the Colorado River in Marble and Grand Canyons as campsites. The U.S. Geological Survey evaluated the effects of Glen Canyon Dam operations on campsite areas on sandbars along the Colorado River in Grand Canyon National Park. Campsite area was measured annually from…

River rafting trips and hikers use sandbars along the Colorado River in Marble and Grand Canyons as campsites. The U.S. Geological Survey evaluated the effects of Glen Canyon Dam operations on campsite areas on sandbars along the Colorado River in Grand Canyon National Park. Campsite area was measured annually from 1998 to 2012 at 37 study sites between Lees Ferry and Diamond Creek, Arizona. The primary purpose of this report is to present the methods and results of the project.

Campsite area surveys were conducted using total station survey methods to outline the perimeter of camping area at each study site. Campsite area is defined as any region of smooth substrate (most commonly sand) with no more than an 8 degree slope and little or no vegetation. We used this definition, but relaxed the slope criteria to include steeper areas near boat mooring locations where campers typically establish their kitchens.

The results show that campsite area decreased over the course of the study period, but at a rate that varied by elevation zone and by survey period. Time-series plots show that from 1998 to 2012, high stage-elevation (greater than the 25,000 ft3/s stage-elevation) campsite area decreased significantly, although there was no significant trend in low stage-elevation (15,000–20,000 ft3/s) campsite area. High stage-elevation campsite area increased after the 2004 and 2008 high flows, but decreased in the intervals between high flows. Although no overall trend was detected for low stage-elevation campsite areas, they did increase after high-volume dam releases equal to or greater than about 20,000 ft3/s. We conclude that dam operations have not met the management objectives of the Glen Canyon Adaptive Management program to increase the size of camping beaches in critical and non-critical reaches of the Colorado River between Glen Canyon Dam and Lake Mead.
ContributorsKaplinski, Matt (Author) / Hazel, Joe (Author) / Parnell, Rod (Author) / Hadley, Daniel R. (Author) / Grams, Paul (Author)
Created2014-07

Paul Grams Oral History

Description

Summary: 

Interview conducted by: Dr. Paul Hirt, Arizona southwestern U.S. state. State University and Jennifer Sweeney, Four East Historical Research, LLC. Glen Canyon Dam Adaptive Management Program Administrative History Project. Administered by Arizona southwestern U.S. state. State University Supported by a grant from the US Bureau of Reclamation.

Biography: 

Paul Grams has worked…

Summary: 

Interview conducted by: Dr. Paul Hirt, Arizona southwestern U.S. state. State University and Jennifer Sweeney, Four East Historical Research, LLC. Glen Canyon Dam Adaptive Management Program Administrative History Project. Administered by Arizona southwestern U.S. state. State University Supported by a grant from the US Bureau of Reclamation.

Biography: 

Paul Grams has worked directly with the Glen Canyon Dam Adaptive Management Program (GCDAMP) since 2008, as a program manager and research hydrologist at the Grand Canyon Monitoring and Research Center (GCMRC). His involvement in Grand Canyon studies goes back to 1991, when he took a Colorado River research trip as part of an undergraduate science course. Grams is an expert on the effects of dams on river geomorphology and sediment transport. He holds a BA in Geology from Middlebury College, an MS in Geology from Utah State University, and a PhD in Geography and Environmental Engineering from Johns Hopkins University.
ContributorsHirt, Paul (Interviewer) / Sweeney, Jennifer (Interviewer) / Grams, Paul (Interviewee)
Created2020-01-24
160654-Thumbnail Image.png

Conference Program

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
160643-Thumbnail Image.jpg

Mapping the Colorado River Corridor in Grand Canyon for Ecosystem Monitoring – Video Recording

Description
The passage of the Grand Canyon Protection Act (1992) and the completion of the Glen Canyon Dam Environmental Impact Statement (1996) ushered in a new era of environmental monitoring and research of the Colorado River corridor in Grand Canyon. Technological advancements in surveying and mapping systems over this period have…

The passage of the Grand Canyon Protection Act (1992) and the completion of the Glen Canyon Dam Environmental Impact Statement (1996) ushered in a new era of environmental monitoring and research of the Colorado River corridor in Grand Canyon. Technological advancements in surveying and mapping systems over this period have made it possible to map larger areas with an increasing level of precision and accuracy. All of these mapping efforts rely on an accurate geodetic control network along the rim and inner canyon corridor. Examples of mapping efforts include aerial photographic, topographic, and bathymetric missions. Aerial overflights of the entire canyon corridor have been conducted in 2002, 2009, and 2013 and the high-resolution orthophographs and photogrammetrically-derived topography form the base data set for a number of investigations. From 2009 to 2017, over 160 miles of channel have been mapped using multibeam bathymetry. The bathymetric maps reveal the form of the Channel bed and allow researchers to asses flow operations from Glen Canyon dam on the sediment resources within the Colorado River ecosystem.
ContributorsKaplinski, Matt (Author, Speaker) / ASU Marketing Hub (Videographer)
Created2019-03-01
132014-Thumbnail Image.png

Digital Transformation and the Self-Driving Car

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…

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