Matching Items (939)
Description
In this thesis, the application of pixel-based vertical axes used within parallel coordinate plots is explored in an attempt to improve how existing tools can explain complex multivariate interactions across temporal data. Several promising visualization techniques are combined, such as: visual boosting to allow for quicker consumption of large data sets, the bond energy algorithm to find finer patterns and anomalies through contrast, multi-dimensional scaling, flow lines, user guided clustering, and row-column ordering. User input is applied on precomputed data sets to provide for real time interaction. General applicability of the techniques are tested against industrial trade, social networking, financial, and sparse data sets of varying dimensionality.
ContributorsHayden, Thomas (Author) / Maciejewski, Ross (Thesis advisor) / Wang, Yalin (Committee member) / Runger, George C. (Committee member) / Mack, Elizabeth (Committee member) / Arizona State University (Publisher)
Created2014
Description
Research literature were reviewed regarding the land-use economic theory of bid-rent curves and the modern emergence of polycentric cities. Two independent Geographic Information System (GIS) analyses were completed to test the hypothesis that bid-rent methodology could be used to tease out trends in residential locations, and hence contribute to present-day urban planning efforts. Specifically, these analyses sought to address the relationships between place of work and place of residence in urban areas. A generalizable set of benchmarks for identifying urban employment centers were established for 10 study cities in the United States, and bid-rent curves were calculated under separate monocentric assumptions and polycentric assumptions. The results presented wide variations in real bid-rent curves that a) overall deviated dramatically from the hypothetical distribution of rent, and b) spoke to the unique residential patterns in individual U.S. cities. The implications of these variations were discussed with regard to equitable housing for marginalized groups and access to centers of employment.
ContributorsBochnovic, Michael Andrew (Author) / Mack, Elizabeth (Thesis advisor) / Pfeiffer, Deirdre (Committee member) / Rey, Sergio J (Committee member) / Arizona State University (Publisher)
Created2014
Description
Adopting smart city tactics is important because it allows cities to develop sustainable communities through efficient policy initiatives. This study exemplifies how data analytics enables planners within smart cities to gain a better understanding of their population, and can make more informed choices based on these consumer choices. As a rising share of the millennial generation enters the workforce, cities across the world are developing policy initiatives in the hopes of attracting these highly educated individuals. Due to this generation's strength in driving regional economic vitality directly and indirectly, it is in the best interests of city planners to understand the preferences of millennials so this information can be used to improve the attractiveness of communities for this high-purchasing power, productive segment of the population. Past research has revealed a tendency within this demographic to make location decisions based on the degree of ‘livability’ in an area. This degree represents a holistic approach at defining quality of life through the interconnectedness of both the built and social environments in cities.
Due to the importance of millennials to cities around the globe, this study uses 2010 ZIP code area data and the Phoenix metropolitan area as a case study to test the relationships between thirteen parameters of livability and the presence of millennials after controlling for other correlates of millennial preference.
The results of a multiple regression model indicated a positive linear association between livability parameters within smart cities and the presence of millennials. Therefore, the selected parameters of livability within smart cities are significant measures in influencing location decisions made by millennials. Urban planners can consequently increase the likelihood in which millennials will choose to live in a given area by improving livability across the parameters exemplified in this study. This mutually beneficial relationship provides added support to the notion that planners should develop solutions to improve livability within smart cities.
Due to the importance of millennials to cities around the globe, this study uses 2010 ZIP code area data and the Phoenix metropolitan area as a case study to test the relationships between thirteen parameters of livability and the presence of millennials after controlling for other correlates of millennial preference.
The results of a multiple regression model indicated a positive linear association between livability parameters within smart cities and the presence of millennials. Therefore, the selected parameters of livability within smart cities are significant measures in influencing location decisions made by millennials. Urban planners can consequently increase the likelihood in which millennials will choose to live in a given area by improving livability across the parameters exemplified in this study. This mutually beneficial relationship provides added support to the notion that planners should develop solutions to improve livability within smart cities.
ContributorsBobman, Mitchell Cole (Author) / Mack, Elizabeth (Thesis director) / Koschinsky, Julia (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Geographical Sciences and Urban Planning (Contributor)
Created2015-05
Description
A 1969 report identified South Phoenix as a community that simply needed to "strengthen residential identity" (City of Phoenix), but the decades of blight and decline that followed led to the eventual adoption of the South Phoenix Village Redevelopment Area Plan in 1989. The plan recognized that twelve block area five miles southeast of the heart of Phoenix needed comprehensive revitalization. Many of the programs implemented by the City over the 20 years have been successful, but the plan has not been reevaluated in more than a decade. This research seeks to compile information as a proxy for an update on the current state of South Phoenix Village with a goal of ascertaining whether a comprehensive plan continues to be the best revitalization tool for the neighborhood. Using census tract-level data, housing, social, and economic characteristics were analyzed in an effort to identify the barriers to success that South Phoenix faces as the area continues to be rehabilitated. Some issues that have been rampant in the 1980s continues to plague the area, but others seem to have been mitigated. Following analysis of the data in the context of residential stability and neighborhood health, conclusions concerning the advantages and limitations of the comprehensive plan approach for South Phoenix Village were drawn, and recommendations for future initiatives in the area were made.
ContributorsAagard, Sarah (Author) / Dantico, Marilyn (Thesis director) / Lewis, Paul (Committee member) / Mack, Elizabeth (Committee member) / Barrett, The Honors College (Contributor)
Created2012-05
Description
This work explores the development of a visual analytics tool for geodemographic exploration in an online environment. We mine 78 million records from the United States white pages, link the location data to demographic data (specifically income) from the United States Census Bureau, and allow users to interactively compare distributions of names with regards to spatial location similarity and income. In order to enable interactive similarity exploration, we explore methods of pre-processing the data as well as on-the-fly lookups. As data becomes larger and more complex, the development of appropriate data storage and analytics solutions has become even more critical when enabling online visualization. We discuss problems faced in implementation, design decisions and directions for future work.
ContributorsIbarra, Jose Luis (Author) / Maciejewski, Ross (Thesis director) / Mack, Elizabeth (Committee member) / Longley, Paul (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2014-05
Description
We seek a comprehensive measurement for the economic prosperity of persons with disabilities. We survey the current literature and identify the major economic indicators used to describe the socioeconomic standing of persons with disabilities. We then develop a methodology for constructing a statistically valid composite index of these indicators, and build this index using data from the 2014 American Community Survey. Finally, we provide context for further use and development of the index and describe an example application of the index in practice.
ContributorsTheisen, Ryan (Co-author) / Helms, Tyler (Co-author) / Lewis, Paul (Thesis director) / Reiser, Mark (Committee member) / Economics Program in CLAS (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Politics and Global Studies (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Local government is an area of politics that is often put on the back burner by citizens. As compared to national government, participation at the local level is dismal. Participation in governments includes (but is not limited to) voting, attending public meetings, working with neighbors, and having baseline knowledge of current events in local government. This disinterest is particularly concerning with young voters. This thesis seeks to provide possible remedies for local governments to increase "millennial" participation and knowledge of the local government process. This project serves as a pilot study and draws upon interviews from sixty young people (ages 18-30) regarding their involvement in Arizona local government. These interviews determined their level of interest, knowledge, and participation in their local government. I used my findings to create a prescriptive approach for local government officials to increase the participation of young people in local government.
ContributorsDick, Morgan Alette (Author) / Lewis, Paul (Thesis director) / Steen, Jennifer (Committee member) / School of International Letters and Cultures (Contributor) / School of Politics and Global Studies (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Homelessness is one of the most visible and tragic problems facing Phoenix today. As Tucson cut its homelessness count nearly in half over the past six years, Phoenix only saw a reduction of 25%. The question remains: what is the best solution for Phoenix to reduce and eventually eliminate homelessness? This paper examined costs and benefits as well as examples in other cities and states of Housing First solutions' effectiveness at reducing the number of people suffering from homelessness. It was found that Housing First solutions, namely Permanent Supportive Housing and Rapid Re-Housing, would be highly effective in combating the homelessness experienced by those in the Phoenix area.
ContributorsGhali, Zakary Hawkes (Author) / Lewis, Paul (Thesis director) / Kilman, Margaret (Committee member) / School of International Letters and Cultures (Contributor) / School of Politics and Global Studies (Contributor, Contributor) / School of Public Affairs (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Traditionally, visualization is one of the most important and commonly used methods of generating insight into large scale data. Particularly for spatiotemporal data, the translation of such data into a visual form allows users to quickly see patterns, explore summaries and relate domain knowledge about underlying geographical phenomena that would not be apparent in tabular form. However, several critical challenges arise when visualizing and exploring these large spatiotemporal datasets. While, the underlying geographical component of the data lends itself well to univariate visualization in the form of traditional cartographic representations (e.g., choropleth, isopleth, dasymetric maps), as the data becomes multivariate, cartographic representations become more complex. To simplify the visual representations, analytical methods such as clustering and feature extraction are often applied as part of the classification phase. The automatic classification can then be rendered onto a map; however, one common issue in data classification is that items near a classification boundary are often mislabeled.
This thesis explores methods to augment the automated spatial classification by utilizing interactive machine learning as part of the cluster creation step. First, this thesis explores the design space for spatiotemporal analysis through the development of a comprehensive data wrangling and exploratory data analysis platform. Second, this system is augmented with a novel method for evaluating the visual impact of edge cases for multivariate geographic projections. Finally, system features and functionality are demonstrated through a series of case studies, with key features including similarity analysis, multivariate clustering, and novel visual support for cluster comparison.
This thesis explores methods to augment the automated spatial classification by utilizing interactive machine learning as part of the cluster creation step. First, this thesis explores the design space for spatiotemporal analysis through the development of a comprehensive data wrangling and exploratory data analysis platform. Second, this system is augmented with a novel method for evaluating the visual impact of edge cases for multivariate geographic projections. Finally, system features and functionality are demonstrated through a series of case studies, with key features including similarity analysis, multivariate clustering, and novel visual support for cluster comparison.
ContributorsZhang, Yifan (Author) / Maciejewski, Ross (Thesis advisor) / Mack, Elizabeth (Committee member) / Liu, Huan (Committee member) / Davulcu, Hasan (Committee member) / Arizona State University (Publisher)
Created2016
Description
This thesis concerns the adoption of health information technology in the medical sector, specifically electronic health records (EHRs). EHRs have been seen as a great benefit to the healthcare system and will improve the quality of patient care. The federal government, has seen the benefit EHRs can offer, has been advocating the use and adoption of EHR for nearly a decade now. They have created policies that guide medical providers on how to implement EHRs. However, this thesis concerns the attitudes medical providers in Phoenix have towards government implementation. By interviewing these individuals and cross-referencing their answers with the literature this thesis wants to discover the pitfalls of federal government policy toward EHR implementation and EHR implementation in general. What this thesis found was that there are pitfalls that the federal government has failed to address including loss of provider productivity, lack of interoperability, and workflow improvement. However, the providers do say there is still a place for government to be involved in the implementation of EHR.
ContributorsKaldawi, Nicholas Emad (Author) / Lewis, Paul (Thesis director) / Cortese, Denis (Committee member) / Jones, Ruth (Committee member) / Barrett, The Honors College (Contributor) / School of Politics and Global Studies (Contributor) / School of Human Evolution and Social Change (Contributor)
Created2013-05