Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 48 for “"Spatial Regression"”.
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Spatial regression methods capture prediction uncertainty in species distribution model projections through time
… produce biased estimates. Failure to account for spatial autocorrelation (SAC) of residual error explains much of this bias. Generalized linear mixed models (GLMM) have the ability to account for SAC through the inclusion of a spatially structured random intercept, interpreted to account for the …
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Spatial regression methods capture prediction uncertainty in species distribution model projections through time
… produce biased estimates. Failure to account for spatial autocorrelation (SAC) of residual error explains much of this bias. Generalized linear mixed models (GLMM) have the ability to account for SAC through the inclusion of a spatially structured random intercept, interpreted to account for the …
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Explaining cost overruns in highway projects : a geo-spatial regression modelling and cognitive mapping of latent pathogens and contextual drivers
… analysis; Documentary/archival analysis; Spatial analysis of geotechnical data sets, designed to quantitatively converge in a triangulatory log-regression model. The results of regression analysis identified that latent pathogens such as heterogeneous ground conditions and non-adherence to …
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Shared electric scooters and transportation equity : a multivariate spatial regression analysis of environmental factors on revealed travel behavior and mode shift potential
… influence when and how they are used. Hexagonal spatial binning feeds a series of spatial lag models to identify explanatory environmental and demographic variables for trip characteristics. These models reveal that employment density and the location of rebalance points are among the strongest …
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Spatializing social networks: making space for theory in spatial analysis
This study is a quantitative and spatial analysis of the gang-related violence in a section of Los Angeles. Using data about the spatial distribution of gang violence in three neighborhoods of Los Angeles, this research first adopts a deductive approach to the spatial analysis of gang violence by …
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Spatial distribution of tuberculosis in Nigeria and its socioeconomic correlates
… population. Few studies have utilized spatial data analysis techniques in the understanding of the pattern of distribution and possible correlates of TB especially in Africa. This study examines the spatial distribution of TB and its associated socioeconomic determinants in Nigeria. …
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An International Spatial Analysis of the Welfare Spending’s Influence on Measles Immunization
… policy or published in nursing journals has used spatial analysis. Purpose: The objective of this study is to develop an analytical approach to maximise exploration of welfare spending’s influence on the relationship between measles vaccination rates and measles infection rates over time and …
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The Spatiality of Housing Price Risk and Return in The Greater Toronto Area
… and some of these studies control for its spatial structure. There is a deficiency, however, in studies that examine the spatial relationship of risk at varying spatial scales and even fewer that do so in a Canadian context. The current study addresses these deficiencies by examining …
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Association between the Fast-Food Environment and Obesity in Canada: A Cross-sectional Analysis
… FSA) was analyzed using ordinary least squares regression. Spatial clustering of BMI was also investigated and spatial-regression analysis was conducted. FSA-level fast-food density is significantly associated with BMI in Canadian adults, predominantly in females and non-rural area. This …
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Essays in Local Governance: Studies of Policy Choices, Resource Management, and Community Impacts
… the latest econometric techniques, including spatial regression discontinuity and difference in differences methods, to identify the causal effects of these policies and programs. In the first chapter of this work, I examine the causal effects of local land use regulation—in particular …
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Street Credit: Neighborhood Level Predictors of Financial Inclusion in Four U.S. Metropolitan Areas
… geographic information systems (GIS) and spatial regression analysis to examine relationships between the uneven geography of retail financial services, mortgage lending activity, and sociodemographic variables. Four metropolitan study areas in the United States—Las Vegas, Nevada; Los …
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The spatial distribution of injury mortality of children in the western geographic service area, City of Cape Town (2011-2015)
… injury. The likelihood to be injured has a spatial dimension with impoverished areas more likely to report injuries among adults and children compared to well-resourced areas. This differentiation is driven by inequality and social determinants which impacts the likelihood of implementing …
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Spatial Data Analysis
… of five chapters with a focus on modeling spatial and temporal data. In chapter 1, we explained different terminology and principles that appear frequently in the analysis of spatial and temporal data. These concepts were explained in detail to form a basis and motivation for the research …
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From Section 8 to Starbucks: The Effects of Gentrification on Affordable Housing in Pittsburgh, Pennsylvania
… the process of gentrification. I use various regression models, including OLS, spatial regression, and geographically weighted regression (GWR) to measure the effect of gentrification on affordable housing for three levels of low-income households. This research shows that gentrification is …
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Geographical perspectives on international cooperation and conflict
This study is a quantitative and spatial analysis of international cooperation and conflict. Using geographic concepts and spatial analysis, this research revisits two sets of existing research questions 1) UN general assembly voting patterns and 2) the escalation of territorial disputes. Political …
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The relationship between rail transit ridership and built environment and transportation system
… used is the direct demand approach with OLS regression. Bootstrapping and spatial regression are also used as enhanced models. Variables concerning each station as well as the station catchment area were considered and tested. This research finds that factors related to transportation system, …
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Economic Welfare Of Firefighting Service In Detroit
… as a function of socio-economic, housing, and spatial factors. I review relevant literature on certain inherent public fire service issues regarding technology and cost structure before I briefly discuss the importance of public fire service with regard to overall social welfare. Finally, I …
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Efficient Bayesian analysis of spatial occupancy models
… model posterior parameters of the single-season spatial occupancy model. We incorporate the widely used Intrinsic Conditional Autoregressive (ICAR) prior model to specify the spatial random effect in our sampler. We also develop OccuSpytial, a statistical package implementing our Gibbs sampler in …
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Multi-scale analysis of 6PPD-quinone: distribution, environmental risk, and urbanization influence in the Delaware River Basin
… of 6PPDQ distribution. Statistical and spatial regression modeling demonstrated strong positive correlations between these drivers and contaminant levels, especially in tributaries. Chapter 5 presents laboratory leaching experiments with new and used tire particles, simulating …
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Quality-of-Life Indicators, Income and Out-Migration Intentions in Gauteng: An Individual- and Ward-Level Analysis
… Linear Probability Models (LPM) and ward-level spatial regression frameworks to analyse micro-level behaviour and macro-level geographic patterns. Respondents are stratified into low-, middle-, and high-income groups, addressing a major limitation in past literature that often treats migrants as …
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