Matching Items (8)
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- All Subjects: Geography
- All Subjects: spatial statistics
- Genre: Academic theses
- Creators: McHugh, Kevin
Description
Residential historic preservation occurs through inhabitation. Through day-to-day domesticities a suite of bodily comportments and aesthetic practices are perpetually at work tearing and stitching the historic fabric anew. Such paradoxical practice materializes seemingly incompatible relations between past and present, people and things. Through a playful posture of experience/experiment, this dissertation attends to the materiality of historic habitation vis-à-vis practices and performances in the Coronado historic neighborhood (1907-1942) in Phoenix, Arizona. Characterized by diversity in the built and social environs, Coronado defies preservation's exclusionary tendencies. First, I propose a theoretical frame to account for the amorphous expression of nostalgia, the way it seeps, tugs, and lures `historic' people and things together. I push the argument that everyday nostalgic practice and performance in Coronado gives rise to an aesthetic of pastness that draws attention to what is near, a sensual attunement of care rather than strict adherence to preservation guidelines. Drawing on the institutional legacy of Neighborhood Housing Services, I then rethink residential historic preservation in Coronado as urban bricolage, the aesthetic ordering of urban space through practices of inclusivity, temporal juxtaposition, and the art of everyday living. Finally, I explore the historic practice of home touring in Coronado as demonstrative of urban hospitality, an opening of self and neighborhood toward other bodies, critical in the making of viable, ethical urban communities. These three moments contribute to the body of literature rethinking urbanism as sensual, enchanted, and hospitable.
ContributorsKitson, Jennifer (Author) / McHugh, Kevin (Thesis advisor) / Lukinbeal, Christopher (Committee member) / Bolin, Bob (Committee member) / Klett, Mark (Committee member) / Arizona State University (Publisher)
Created2013
Description
Geography, and the social sciences more broadly, have long operated within what is arguably a paradigm of the visual. Expanding the reach of geographical consideration into the realm of the aural, though in no way leaving behind the visual, opens the discipline to new areas of human and cultural geography invisible in ocular-centric approaches. At its broadest level, my argument in this dissertation is that music can no longer be simply an object of geographical research. Re-conceptualized and re-theorized in a geographical context to take into account its very real, active, and more-than-representational presence in social life, music provides actual routes to geographic knowledge of the world. I start by constructing a theoretical framework and methodological approach for studying music beyond representation. Based on these theoretical and methodological arguments, I present four narratives that unfold at the intersections of race and music in the northeast Brazilian city of Salvador. From the favelas of Rio de Janeiro to the troubled neighborhood of the Pelourinho, from the manic tempos of samba to the laid back grooves of samba-reggae, and in the year-round competition between the oppressive forces of ordinary time and the fleeting possibility of carnival, music emerges as a creative societal force with affects and effects far beyond the realm of representation. Together, these narratives exemplify the importance of expanding geographical considerations beyond a strictly visual framework. These narratives contribute to the musicalization of the discipline of geography.
ContributorsFinn, John C (Author) / McHugh, Kevin (Thesis advisor) / Lukinbeal, Christopher (Committee member) / Bolin, Bob (Committee member) / Price, Patricia (Committee member) / Arizona State University (Publisher)
Created2011
Description
ABSTRACT
Famine is the result of a complex set of environmental and social factors. Climate conditions are established as environmental factors contributing to famine occurrence, often through teleconnective patterns. This dissertation is designed to investigate the combined influence on world famine patterns of teleconnections, specifically the North Atlantic Oscillation (NAO), Southern Oscillation (SO), Pacific Decadal Oscillation (PDO), Atlantic Multidecadal Oscillation (AMO), or regional climate variations such as the South Asian Summer Monsoon (SASM). The investigation is three regional case studies of famine patterns specifically, Egypt, the British Isles, and India.
The first study (published in Holocene) employs the results of a Principal Component Analysis (PCA) yielding a SO-NAO eigenvector to predict major Egyptian famines between AD 1049-1921. The SO-NAO eigenvector (1) successfully discriminates between the 5-10 years preceding a famine and the other years, (2) predicts eight of ten major famines, and (3) correctly identifies fifty out of eighty events (63%) of food availability decline leading up to major famines.
The second study investigates the impact of the NAO, PDO, SO, and AMO on 63 British Isle famines between AD 1049 and 1914 attributed to climate causes in historical texts. Stepwise Regression Analysis demonstrates that the 5-year lagged NAO is the primary teleconnective influence on famine patterns; it successfully discriminates 73.8% of weather-related famines in the British Isles from 1049 to 1914.
The final study identifies the aggregated influence of the NAO, SO, PDO, and SASM on 70 Indian famines from AD 1049 to 1955. PCA results in a NAO-SOI vector and SASM vector that predicts famine conditions with a positive NAO and negative SO, distinct from the secondary SASM influence. The NAO-famine relationship is consistently the strongest; 181 of 220 (82%) of all famines occurred during positive NAO years.
Ultimately, the causes of famine are complex and involve many factors including societal and climatic. This dissertation demonstrates that climate teleconnections impact famine patterns and often the aggregates of multiple climate variables hold the most significant climatic impact. These results will increase the understanding of famine patterns and will help to better allocate resources to alleviate future famines.
Famine is the result of a complex set of environmental and social factors. Climate conditions are established as environmental factors contributing to famine occurrence, often through teleconnective patterns. This dissertation is designed to investigate the combined influence on world famine patterns of teleconnections, specifically the North Atlantic Oscillation (NAO), Southern Oscillation (SO), Pacific Decadal Oscillation (PDO), Atlantic Multidecadal Oscillation (AMO), or regional climate variations such as the South Asian Summer Monsoon (SASM). The investigation is three regional case studies of famine patterns specifically, Egypt, the British Isles, and India.
The first study (published in Holocene) employs the results of a Principal Component Analysis (PCA) yielding a SO-NAO eigenvector to predict major Egyptian famines between AD 1049-1921. The SO-NAO eigenvector (1) successfully discriminates between the 5-10 years preceding a famine and the other years, (2) predicts eight of ten major famines, and (3) correctly identifies fifty out of eighty events (63%) of food availability decline leading up to major famines.
The second study investigates the impact of the NAO, PDO, SO, and AMO on 63 British Isle famines between AD 1049 and 1914 attributed to climate causes in historical texts. Stepwise Regression Analysis demonstrates that the 5-year lagged NAO is the primary teleconnective influence on famine patterns; it successfully discriminates 73.8% of weather-related famines in the British Isles from 1049 to 1914.
The final study identifies the aggregated influence of the NAO, SO, PDO, and SASM on 70 Indian famines from AD 1049 to 1955. PCA results in a NAO-SOI vector and SASM vector that predicts famine conditions with a positive NAO and negative SO, distinct from the secondary SASM influence. The NAO-famine relationship is consistently the strongest; 181 of 220 (82%) of all famines occurred during positive NAO years.
Ultimately, the causes of famine are complex and involve many factors including societal and climatic. This dissertation demonstrates that climate teleconnections impact famine patterns and often the aggregates of multiple climate variables hold the most significant climatic impact. These results will increase the understanding of famine patterns and will help to better allocate resources to alleviate future famines.
ContributorsSantoro, Michael Melton (Author) / Cerveny, Randall S. (Thesis advisor) / McHugh, Kevin (Committee member) / Brazel, Anthony (Committee member) / Balling Jr., Robert C. (Committee member) / Arizona State University (Publisher)
Created2017
Description
“(Dis)Locating the Sensual: Black Queer Placemaking in Brooklyn, New York” investigates the impact that gentrification has on Black queer subject formations and Black queer public culture. My research explores the interplay between social oppressions, the Black quotidian queer body, and lived sensations within two Black queer bars located in the epicenter of white middle class gentrification in Brooklyn, New York: Langston’s Brooklyn and Happiness Lounge. In doing so, my project expands Western conceptions of space while charging feminist and queer theories to explore interpersonal and personal dimensions of lived experiences that are conditioned by modes of normalization set by white supremacy. I use archival research and ethnographic methods to explore the way that Black queer people utilize space and the spatial dimensions that happen in and across the spaces they regularly occupy. I also collect and examine building information, such as the owners’ respective rental agreements, building permits, documented building violation(s), and incurred fees by the owners to understand who owns the land, who manages the properties, and the role of the state in regulating space. Additionally, “(Dis)Locating the Sensual” analyzes three analytic memos from my ethnographic fieldnotes including desire, spatial performance, and sensations to apprehend the implications of performance on a Black queer sense of place. Taken together, this data renders a complex picture of Black queer place-making that both resists and exceeds the structural constraints of racial capitalist expansion. My work both dialogues with and contributes to fields that are rarely drawn into conversation: Urban geography and Black queer studies. By analyzing sensations, nostalgia, and atmosphere within Langston’s and Happiness Lounge, I chart the ways in which gentrification continues to displace physical Black queer social spaces and impact the atmospheres and sensations that are unique to their vanishing social spaces. I introduce Black queer spatiality as a method that is informed by tracing Black LGBT spatial sensations and atmospheres; this analytic enables the linking of physical spatio-historical processes of extraction to the sensual geographic experiences that are emplaced in Black queer social spaces.
ContributorsMillhouse, Ricardo (Author) / Bailey, Marlon M (Thesis advisor) / Shabazz, Gregg R (Committee member) / Fonow, Mary M (Committee member) / McHugh, Kevin (Committee member) / Arizona State University (Publisher)
Created2021
Description
New communication technologies have undoubtedly altered the ways in which persons interact and have had a profound impact on public life. Engaging this impact, much of the scholarly literature has focused on how these interfaces mediate interaction however, less is known about technology's modulating effects. The current project moves beyond mediation, underscoring how social relations are not only activated by technology, but are actuated by these interfaces. Through an extended case study of Portals, gold shipping containers equipped with audio-visual technology that put persons in digital face-to-face interaction with others around the globe, the current project engages such actuation, highlighting how the co-mingling of affect and technology generate new ways of noticing, living and thinking through the complex relationships of public life. The human/technology relations mediated/modulated by the Portal produce unique atmospheres that activate/actuate public space and blur the boundaries between public and private. Additionally, the atmospheres of the Portal generate a digital co-presence that allows for user/participants to feel with their interlocutors. This “feeling with” suspends user/participants in atmospheres of human connection through the emergence of an imaginative dialogue, and the curating of such atmospheres leads to dialogic transformation. As such, the Portal operates as an atmospheric interface. Engaging the concept of atmosphere attunes those interested in new communication technologies to the complex gatherings these technologies create, and the potentialities and pitfalls of these emerging interfaces on public life.
ContributorsFerderer, Brandon Boyd (Author) / Brouwer, Daniel C. (Thesis advisor) / McHugh, Kevin (Committee member) / Hess, Aaron (Committee member) / Arizona State University (Publisher)
Created2019
Description
Spatial regression is one of the central topics in spatial statistics. Based on the goals, interpretation or prediction, spatial regression models can be classified into two categories, linear mixed regression models and nonlinear regression models. This dissertation explored these models and their real world applications. New methods and models were proposed to overcome the challenges in practice. There are three major parts in the dissertation.
In the first part, nonlinear regression models were embedded into a multistage workflow to predict the spatial abundance of reef fish species in the Gulf of Mexico. There were two challenges, zero-inflated data and out of sample prediction. The methods and models in the workflow could effectively handle the zero-inflated sampling data without strong assumptions. Three strategies were proposed to solve the out of sample prediction problem. The results and discussions showed that the nonlinear prediction had the advantages of high accuracy, low bias and well-performed in multi-resolution.
In the second part, a two-stage spatial regression model was proposed for analyzing soil carbon stock (SOC) data. In the first stage, there was a spatial linear mixed model that captured the linear and stationary effects. In the second stage, a generalized additive model was used to explain the nonlinear and nonstationary effects. The results illustrated that the two-stage model had good interpretability in understanding the effect of covariates, meanwhile, it kept high prediction accuracy which is competitive to the popular machine learning models, like, random forest, xgboost and support vector machine.
A new nonlinear regression model, Gaussian process BART (Bayesian additive regression tree), was proposed in the third part. Combining advantages in both BART and Gaussian process, the model could capture the nonlinear effects of both observed and latent covariates. To develop the model, first, the traditional BART was generalized to accommodate correlated errors. Then, the failure of likelihood based Markov chain Monte Carlo (MCMC) in parameter estimating was discussed. Based on the idea of analysis of variation, back comparing and tuning range, were proposed to tackle this failure. Finally, effectiveness of the new model was examined by experiments on both simulation and real data.
In the first part, nonlinear regression models were embedded into a multistage workflow to predict the spatial abundance of reef fish species in the Gulf of Mexico. There were two challenges, zero-inflated data and out of sample prediction. The methods and models in the workflow could effectively handle the zero-inflated sampling data without strong assumptions. Three strategies were proposed to solve the out of sample prediction problem. The results and discussions showed that the nonlinear prediction had the advantages of high accuracy, low bias and well-performed in multi-resolution.
In the second part, a two-stage spatial regression model was proposed for analyzing soil carbon stock (SOC) data. In the first stage, there was a spatial linear mixed model that captured the linear and stationary effects. In the second stage, a generalized additive model was used to explain the nonlinear and nonstationary effects. The results illustrated that the two-stage model had good interpretability in understanding the effect of covariates, meanwhile, it kept high prediction accuracy which is competitive to the popular machine learning models, like, random forest, xgboost and support vector machine.
A new nonlinear regression model, Gaussian process BART (Bayesian additive regression tree), was proposed in the third part. Combining advantages in both BART and Gaussian process, the model could capture the nonlinear effects of both observed and latent covariates. To develop the model, first, the traditional BART was generalized to accommodate correlated errors. Then, the failure of likelihood based Markov chain Monte Carlo (MCMC) in parameter estimating was discussed. Based on the idea of analysis of variation, back comparing and tuning range, were proposed to tackle this failure. Finally, effectiveness of the new model was examined by experiments on both simulation and real data.
ContributorsLu, Xuetao (Author) / McCulloch, Robert (Thesis advisor) / Hahn, Paul (Committee member) / Lan, Shiwei (Committee member) / Zhou, Shuang (Committee member) / Saul, Steven (Committee member) / Arizona State University (Publisher)
Created2020
Description
Geographically Weighted Regression (GWR) has been broadly used in various fields to
model spatially non-stationary relationships. Classic GWR is considered as a single-scale model that is based on one bandwidth parameter which controls the amount of distance-decay in weighting neighboring data around each location. The single bandwidth in GWR assumes that processes (relationships between the response variable and the predictor variables) all operate at the same scale. However, this posits a limitation in modeling potentially multi-scale processes which are more often seen in the real world. For example, the measured ambient temperature of a location is affected by the built environment, regional weather and global warming, all of which operate at different scales. A recent advancement to GWR termed Multiscale GWR (MGWR) removes the single bandwidth assumption and allows the bandwidths for each covariate to vary. This results in each parameter surface being allowed to have a different degree of spatial variation, reflecting variation across covariate-specific processes. In this way, MGWR has the capability to differentiate local, regional and global processes by using varying bandwidths for covariates. Additionally, bandwidths in MGWR become explicit indicators of the scale at various processes operate. The proposed dissertation covers three perspectives centering on MGWR: Computation; Inference; and Application. The first component focuses on addressing computational issues in MGWR to allow MGWR models to be calibrated more efficiently and to be applied on large datasets. The second component aims to statistically differentiate the spatial scales at which different processes operate by quantifying the uncertainty associated with each bandwidth obtained from MGWR. In the third component, an empirical study will be conducted to model the changing relationships between county-level socio-economic factors and voter preferences in the 2008-2016 United States presidential elections using MGWR.
model spatially non-stationary relationships. Classic GWR is considered as a single-scale model that is based on one bandwidth parameter which controls the amount of distance-decay in weighting neighboring data around each location. The single bandwidth in GWR assumes that processes (relationships between the response variable and the predictor variables) all operate at the same scale. However, this posits a limitation in modeling potentially multi-scale processes which are more often seen in the real world. For example, the measured ambient temperature of a location is affected by the built environment, regional weather and global warming, all of which operate at different scales. A recent advancement to GWR termed Multiscale GWR (MGWR) removes the single bandwidth assumption and allows the bandwidths for each covariate to vary. This results in each parameter surface being allowed to have a different degree of spatial variation, reflecting variation across covariate-specific processes. In this way, MGWR has the capability to differentiate local, regional and global processes by using varying bandwidths for covariates. Additionally, bandwidths in MGWR become explicit indicators of the scale at various processes operate. The proposed dissertation covers three perspectives centering on MGWR: Computation; Inference; and Application. The first component focuses on addressing computational issues in MGWR to allow MGWR models to be calibrated more efficiently and to be applied on large datasets. The second component aims to statistically differentiate the spatial scales at which different processes operate by quantifying the uncertainty associated with each bandwidth obtained from MGWR. In the third component, an empirical study will be conducted to model the changing relationships between county-level socio-economic factors and voter preferences in the 2008-2016 United States presidential elections using MGWR.
ContributorsLi, Ziqi (Author) / Fotheringham, A. Stewart (Thesis advisor) / Goodchild, Michael F. (Committee member) / Li, Wenwen (Committee member) / Arizona State University (Publisher)
Created2020
Description
In 2001, a refugee group of unaccompanied minors known as the Lost Boys of Sudan began arriving in the United States. Their early years were met with extensive media coverage and scores of well-meaning volunteers in scattered resettlement locations across the country. Their story was told in television news reports, documentary films, and published memoirs. Updates regularly appeared in newsprint media. Scholars have criticized public depictions of refugees as frequently de-politicized, devoid of historical context, and often depicting voiceless masses of humanity rather than individuals with skills and histories (Malkki 1996, Harrell-Bond and Voutira 2007). These representations matter because they are both shaped by and shape what is possible in public discourse and everyday relations. This dissertation research creates an intersection where public representation and everyday practices meet. Through participant observation as a volunteer at a refugee community center in Phoenix, Arizona, this research explores the emotions, social roles and relations that underpin community formation, and investigates the narratives, representations, and performances that local Lost Boys and their publics engage in. I take the assertion that "refugee issues are one privileged site for the study of humanitarian interventions through which 'the international community' constitutes itself " (Malkki 1996: 378) and consider formation of local 'communities of feeling' (Riches and Dawson 1996) in order to offer a critique of humanitarianism as mobilized and enacted around the Lost Boys.
ContributorsAlexander, Melinda (Author) / McHugh, Kevin (Thesis advisor) / Catlaw, Thomas (Committee member) / Lukinbeal, Christopher (Committee member) / Menjivar, Cecilia (Committee member) / Arizona State University (Publisher)
Created2014