Matching Items (29)
Description
Researchers across a variety of fields are often interested in determining if data are of a random nature or if they exhibit patterning which may be the result of some alternative and potentially more interesting process. This dissertation explores a family of statistical methods, i.e. space-time interaction tests, designed to detect structure within three-dimensional event data. These tests, widely employed in the fields of spatial epidemiology, criminology, ecology and beyond, are used to identify synergistic interaction across the spatial and temporal dimensions of a series of events. Exploration is needed to better understand these methods and determine how their results may be affected by data quality problems commonly encountered in their implementation; specifically, how inaccuracy and/or uncertainty in the input data analyzed by the methods may impact subsequent results. Additionally, known shortcomings of the methods must be ameliorated. The contributions of this dissertation are twofold: it develops a more complete understanding of how input data quality problems impact the results of a number of global and local tests of space-time interaction and it formulates an improved version of one global test which accounts for the previously identified problem of population shift bias. A series of simulation experiments reveal the global tests of space-time interaction explored here to be dramatically affected by the aforementioned deficiencies in the quality of the input data. It is shown that in some cases, a conservative degree of these common data problems can completely obscure evidence of space-time interaction and in others create it where it does not exist. Conversely, a local metric of space-time interaction examined here demonstrates a surprising robustness in the face of these same deficiencies. This local metric is revealed to be only minimally affected by the inaccuracies and incompleteness introduced in these experiments. Finally, enhancements to one of the global tests are presented which solve the problem of population shift bias associated with the test and better contextualize and visualize its results, thereby enhancing its utility for practitioners.
ContributorsMalizia, Nicholas (Author) / Anselin, Luc (Thesis advisor) / Murray, Alan (Committee member) / Rey, Sergio (Committee member) / Arizona State University (Publisher)
Created2013
Description
This phenomenological qualitative study examines the experiences of volunteer tourism on host communities using social representations theory. The experiences of three stakeholder-groups (community residents, volunteers, and nongovernmental organizations) are considered. Overall objectives of this project are to investigate the following questions: a) what are the effects of volunteer tourism on a community as perceived by different stakeholders; b) what effects do volunteer tourists have on the community compared to other forms of tourism as perceived by different stakeholders; c) how do the various stakeholders perceive the different forms of tourism in communities in which they live or work; and d) why and how do nongovernmental organizations (NGOs) use volunteer tourism as a strategy for their projects. This study attempts to describe and interpret these meanings with a high degree of depth and richness using interviews, observation, and document analysis. Each chapter is written as a stand-alone paper to be published in a journal and describes the perspectives of the three groups interviewed with the final chapter a summary and comparison from all three groups. Findings show that there are both positive and negative impacts of volunteer tourism in favela communities, with the majority of the three groups expressing its positives and its importance to the community. All groups mentioned similar positive and negative elements of volunteer tourism with some elements that were unique to each group. This study also attempted to compare and contrast the differences between volunteer tourism and favela tours. The findings show that volunteer tourism helps recreate the social representations of the favela thereby improving self-esteem in the community, helps breakdown preconceptions, and helps create community pride. The community feels as equals with the volunteers and describes the interactions as friendships, sharing cultural experiences, and exchanging of knowledge. Conversely, all three groups described favela tours as dehumanizing using words like `safari tour' or `zoo tour' and felt that their community was being sold as a commodity. However, the interviews showed that all three groups, although had strong opinions about the ethical implications of favela tours, still felt conflicted when comparing it with some of the potential social and economic benefits that it may bring.
ContributorsAquino, Jessica Faustini (Author) / Andereck, Kathleen (Thesis advisor) / Mcgehee, Nancy (Committee member) / Phillips, Rhonda (Committee member) / Wang, Lili (Committee member) / Arizona State University (Publisher)
Created2013
Description
This dissertation examines the role that business counselors in a public entrepreneurial development program play in improving the Entrepreneurial Specific Human Capital (ESHC) of nascent and active entrepreneurs. Through multiple research methodologies, this study identifies the types of ESHC provided by business counselors then compares them to the types of ESHC commonly accepted as necessary for entrepreneurial success. The comparison reveals a number of insights for policy and research, most notably a minimum portfolio of skills necessary for entrepreneurial success. This study also examines the methods counselors use to help entrepreneurs acquire higher levels of ESHC. These methods allow counselors to assist entrepreneurs in recognizing and overcoming common barriers to business growth, and a model of entrepreneurial business growth barriers has been produced which depicts these barriers as conceptual-operational transition points for the entrepreneur. Additionally, this dissertation develops important information about the use of the business plan in entrepreneurial development, and uncovers a number of moderators in the relationship between the use of the business plan and entrepreneurial success. Finally, the study produces detailed information about ESHC which has potential for scale development, and highlights a number of insights for policy and research that have not been identified previously.
ContributorsDahlstrom, Timothy R (Author) / Chapman, Jeffrey I. (Thesis advisor) / Phillips, Rhonda (Committee member) / Knopf, Richard (Committee member) / Arizona State University (Publisher)
Created2013
Description
This dissertation addresses the research challenge of developing efficient new methods for discovering useful patterns and knowledge in large volumes of electronically collected spatiotemporal activity data. I propose to analyze three types of such spatiotemporal activity data in a methodological framework that integrates spatial analysis, data mining, machine learning, and geovisualization techniques. Three different types of spatiotemporal activity data were collected through different data collection approaches: (1) crowd sourced geo-tagged digital photos, representing people's travel activity, were retrieved from the website Panoramio.com through information retrieval techniques; (2) the same techniques were used to crawl crowd sourced GPS trajectory data and related metadata of their daily activities from the website OpenStreetMap.org; and finally (3) preschool children's daily activities and interactions tagged with time and geographical location were collected with a novel TabletPC-based behavioral coding system. The proposed methodology is applied to these data to (1) automatically recommend optimal multi-day and multi-stay travel itineraries for travelers based on discovered attractions from geo-tagged photos, (2) automatically detect movement types of unknown moving objects from GPS trajectories, and (3) explore dynamic social and socio-spatial patterns of preschool children's behavior from both geographic and social perspectives.
ContributorsLi, Xun (Author) / Anselin, Luc (Thesis advisor) / Koschinsky, Julia (Committee member) / Maciejewski, Ross (Committee member) / Rey, Sergio (Committee member) / Griffin, William (Committee member) / Arizona State University (Publisher)
Created2012
Description
Empirical and theoretical gaps exist on the subject matter of attendee experiential behavior at community festivals as this action occurs in real time. To acquire knowledge and begin to build theory, attendee behavior was investigated through an interpretive lens to give rise to a socially constructed understanding of this phenomenon in contrast to typical positivist inquiry designs found in the field of event studies used to test theory and determine universal explanations. This ontology was deemed appropriate as human experience at community festivals is multifaceted, relative to social interactions, highly variable with complex meanings, and has a wide variety of consequential implications; all views representative of social constructivism. A grounded theory approach was used in conjunction with a participant observation method to collect data on attendee behavior during fieldwork undertaken at community festivals. Prior to fieldwork, literature was not reviewed nor specific theory pre-selected to serve as a basis for research, with the researcher's only intent to record attendee's on-site actions with an open mind. Fieldwork notes were systematically expanded into descriptive narratives that were broken down into initial codes to establish robust analytic directions, which were synthesized into categories and subcategories through focused coding. Relationships between categories and subcategories were reassembled with axial coding bringing into view a strong emergent theme on social capital bonding and bridging at community festivals and a second theme that considers the aspirations of event management to program festive experiences. To strengthen the second theme event manager interviews and content analysis of event association newsletters were conducted as theoretical sampling to move data towards saturation. From emergent themes it was theorized, while social capital bonding is profusely exhibited at community festivals, social capital bridging is minimally displayed unless augmented with programmed festivity to increase physical, emotional, and social engagement of attendees. Literature reviewed in relation to this theory revealed that spirituality, dance, music, the arts, and wild abandonment were important elements of festivity. An implication arising from this study indicates that if community festivals consciously enhance programmed festivity then correspondingly increased social capital impacts within community development might also be achieved.
ContributorsBiaett, Vernon (Author) / Phillips, Rhonda (Thesis advisor) / Budruk, Megha (Committee member) / Hultsman, Wendy (Committee member) / De La Garza, Sarah (Committee member) / Arizona State University (Publisher)
Created2013
Description
Species distribution modeling is used to study changes in biodiversity and species range shifts, two currently well-known manifestations of climate change. The focus of this study is to explore how distributions of suitable habitat might shift under climate change for shrub communities within the Santa Monica Mountains National Recreation Area (SMMNRA), through a comparison of community level to individual species level distribution modeling. Species level modeling is more commonly utilized, in part because community level modeling requires detailed community composition data that are not always available. However, community level modeling may better detect patterns in biodiversity. To examine the projected impact on suitable habitat in the study area, I used the MaxEnt modeling algorithm to create and evaluate species distribution models with presence only data for two future climate models at community and individual species levels. I contrasted the outcomes as a method to describe uncertainty in projected models. To derive a range of sensitivity outcomes I extracted probability frequency distributions for suitable habitat from raster grids for communities modeled directly as species groups and contrasted those with communities assembled from intersected individual species models. The intersected species models were more sensitive to climate change relative to the grouped community models. Suitable habitat in SMMNRA's bounds was projected to decline from about 30-90% for the intersected models and about 20-80% for the grouped models from its current state. Models generally captured floristic distinction between community types as drought tolerance. Overall the impact on drought tolerant communities, growing in hotter, drier habitat such as Coastal Sage Scrub, was predicted to be less than on communities growing in cooler, moister more interior habitat, such as some chaparral types. Of the two future climate change models, the wetter model projected less impact for most communities. These results help define risk exposure for communities and species in this conservation area and could be used by managers to focus vegetation monitoring tasks to detect early response to climate change. Increasingly hot and dry conditions could motivate opportunistic restoration projects for Coastal Sage Scrub, a threatened vegetation type in Southern California.
ContributorsJames, Jennifer (Author) / Franklin, Janet (Thesis advisor) / Rey, Sergio (Committee member) / Wentz, Elizabeth (Committee member) / Arizona State University (Publisher)
Created2014
Description
The border policies of the United States and Mexico that have evolved over the previous decades have pushed illegal immigration and drug smuggling to remote and often public lands. Valuable natural resources and tourist sites suffer an inordinate level of environmental impacts as a result of activities, from new roads and trash to cut fence lines and abandoned vehicles. Public land managers struggle to characterize impacts and plan for effective landscape level rehabilitation projects that are the most cost effective and environmentally beneficial for a region given resource limitations. A decision support tool is developed to facilitate public land management: Borderlands Environmental Rehabilitation Spatial Decision Support System (BERSDSS). The utility of the system is demonstrated using a case study of the Sonoran Desert National Monument, Arizona.
ContributorsFisher, Sharisse (Author) / Murray, Alan T. (Thesis advisor) / Wentz, Elizabeth (Committee member) / Rey, Sergio (Committee member) / Arizona State University (Publisher)
Created2013
Description
The aims of the study are to investigate the relationship between density and social equity. Social equity is an important social goal with regard to urban development, especially smart growth and sustainable development; however, a definition of the concept of social equity from an urban planning perspective was still lacking. In response to these deficiencies, the study used quantitative and qualitative methods and synthesized multiple social and spatial perspectives to provide guidance for density and social equity planning, community design, and public policy. This study used data for the area of King County, Washington to explore the empirical relationship between density and social equity at the neighborhood level. In examining access to several facilities, this study found that distances to parks and grocery stores were shorter than those to other facilities, such as the library, hospital, police station, and fire station. In terms of the relationship between density and accessibility, the results show that higher density is associated with better accessibility in neighborhoods. Density is also positively associated with both income diversity and affordable housing for low-income families. In terms of the relationship between density and crime, density is positively associated with violent crime, while density is negatively associated with property crime. The findings of this study can aid in the development and evaluation of urban policy and density planning aimed at promoting social benefits in urban space. Therefore, this study is useful to a range of stakeholders, including urban planners, policy makers, residents, and social science researchers across different disciplines.
ContributorsMin, Bogyeong (Author) / Talen, Emily (Thesis advisor) / Harlan, Sharon (Committee member) / Phillips, Rhonda (Committee member) / Arizona State University (Publisher)
Created2014
Description
There are many different approaches to the analysis of regional economic growth potential. One of the more recent is the theory of the creative class, and its impact on creative centers. Much of the criticism surrounding this theory is in how the creative class is defined and measured. The goal of this thesis is to explore alternate definitions to better understand how these variations impact the ranking of creative centers as well as their location through space and time. This is important given the proliferation of rankings as a benchmarking tool for economic development efforts. In order to test the sensitivity that the creative class has to definitional changes, a new set of rankings of creative centers are provided based on an alternate definition of creative employment, and compared to Richard Florida's original rankings. Findings show that most cities are not substantially affected by the alternate definitions derived in this study. However, it is found that particular cities do show sensitivity to comparisons made to Florida's definition, with the same cities experiencing greater variations in rank over time.
ContributorsDe Luca, Anthony J., Jr (Author) / Mack, Elizabeth A. (Thesis advisor) / Arreola, Daniel (Committee member) / Rey, Sergio (Committee member) / Talen, Emily (Committee member) / Arizona State University (Publisher)
Created2014
Description
It has been identified in the literature that there exists a link between the built environment and non-motorized transport. This study aims to contribute to existing literature on the effects of the built environment on cycling, examining the case of the whole State of California. Physical built environment features are classified into six groups as: 1) local density, 2) diversity of land use, 3) road connectivity, 4) bike route length, 5) green space, 6) job accessibility. Cycling trips in one week for all children, school children, adults and employed-adults are investigated separately. The regression analysis shows that cycling trips is significantly associated with some features of built environment when many socio-demographic factors are taken into account. Street intersections, bike route length tend to increase the use of bicycle. These effects are well-aligned with literature. Moreover, both local and regional job accessibility variables are statistically significant in two adults' models. However, residential density always has a significant negatively effect on cycling trips, which is still need further research to confirm. Also, there is a gap in literature on how green space affects cycling, but the results of this study is still too unclear to make it up. By elasticity analysis, this study concludes that street intersections is the most powerful predictor on cycling trips. From another perspective, the effects of built environment on cycling at workplace (or school) are distinguished from at home. This study implies that a wide range of measures are available for planners to control vehicle travel by improving cycling-level in California.
ContributorsWang, Kailai, M.U.E.P (Author) / Salon, Deborah (Thesis advisor) / Rey, Sergio (Committee member) / Li, Wenwen (Committee member) / Arizona State University (Publisher)
Created2015