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 27 for “"spatial data analysis"”.
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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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Exploratory Spatial Data Analysis for Origin and Destination Flow Data
… the existence of geographical attributes in the datasets, interactive visualization tools and dynamic graphics. In this study, I propose a new set of techniques for exploring O-D flow data and integrate it into an operational ESDA environment. These objectives are decomposed into the following …
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Auto-tuned optimized parallel I/O for GIScience and spatial applications
Reading and writing big data is increasingly becoming a major bottleneck of using high-performance computing systems as we are heading towards the Exascale era. An unprecedented amount of data is being produced everyday by different sources. On the other hand, the computation power of HPC systems …
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Comparing linear programming and mixed integer programming formulations for forest planning on the Naval Surface Weapons Center, Dahlgren, Virginia
… research project examined the ability to combine spatial data analysis and mathematical programming techniques in developing a multiple-use land management plan for a public forest in northeastern Virginia. Linear programming-based timber management scheduling models were constructed utilizing the …
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The effect of locational uncertainty in geostatistics
<p>A datum is considered spatial if it contains locational information. Typically, there is also attribute information, whose distribution depends on its location. Thus, error in locational information leads to error in attribute information, which is ultimately reflected in the inference drawn …
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Spatial and Spatiotemporal Modeling of Epidemiological Data
… dissertation focuses on modeling approach for spatial and spatiotemporal data with epidemiological applications. Chapter one gives the general overview of spatial and spatiotemporal data and challenges in the statistical analysis of spatial and spatiotemporal data, and motivation and objectives …
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Neighborhood Effects Of Physical Interventions To Abandoned Housing
… in large, American cities along with Exploratory Spatial Data Analysis were performed to see this goal. The results suggest that maintenance interventions are able to abate neighborhood rates of fire and crime incidence to a much greater degree than demolition. This study is exploratory in nature …
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Diagnosing the Increase in Homicides in Montevideo
… into the driving forces of this change. The data is analyzed by means of a variety of rather novel approaches within the field of criminology, such as network analysis, exploratory spatial data analysis and techniques developed in the context of epidemiological studies. The evidence presented …
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Comparison of accuracy and efficiency of five digital image classification algorithms
… of land cover features and two types of image data (Landsat MSS and Thematic Mapper) were represented. Classification algorithms were selected from the General Image Processing System (GIPSY) at the Spatial Data Analysis Laboratory at Virginia Polytechnic Institute and State University, …
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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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Development of a Spatial Decision Support System for Emergency Medical Service Facility Siting
… Information Systems (GIS) provide an adequate analysis environment for EMS facility siting as many considered criteria are of a spatial nature. However, urban planners making decisions about an EMS facility site often lack the necessary expertise to make full use of challenging GIS tools. In …
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A CyberGIS environment for spatiotemporal analysis: a case study of China mortality data
… modality for protected access to public health data and related CyberGIS analytical and visualization services based on service-oriented architecture. A novel CyberGIS Open Service Application Programming Interface is employed to allow a number of users to execute multiple spatial analyses …
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Modeling spatial covariance functions
<p>Covariance modeling plays a key role in the spatial data analysis as it provides important information about the dependence structure of underlying processes and determines performance of spatial prediction. Various parametric models have been developed to accommodate the idiosyncratic features …
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Entrepreneurship in the Knowledge Based Economy: A Spatial Analysis of Great Britain 2008-2010
… contribution by examining the determinants of spatial variations in entrepreneurship across sub-regions of Great Britain from 2008-2010. Through utilising newly available data on firm births and applying exploratory spatial data analysis and spatial econometric techniques, two prominent …
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Essays in Financial Development and Income Inequality
… Moments (GMM) method using a Chinese provincial dataset between 1998 and 2014. The empirical findings support the notion that well-developed financial markets increase income inequality in China. After adding a year dummy for 2001 to examine the impact of China’s entry into the World Trade …
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Non-Parametric Spatial Models
<p>Covariance functions play a central role in spatial statistics. Parametric covariance functions have been used in most of the existing works on the analysis of spatial data. The primary reason for this is that the classes of parametric covariance functions guarantee that the fitted covariance …
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A Climate Change Vulnerability Assessment among Small Farmers: A Case Study in Western Honduras
… of the indicators with related measurements and data sources for climate change vulnerability assessment. The framework thus contributes to the knowledge base of the climate change vulnerability assessment. It also contributes to the design science literature by providing guidelines to design a …
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Rail Rebound: The Impact of Freight Rails on Regional Development in the United States, 1970-2010
… impacts of freight rails using county-level data in the continental United States from 1970 to 2010. The demographic and socioeconomic changes are measured by eleven dependent variables. Of those eleven, six are demographic (population, young, old, White, Black, Hispanic) and five are …
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A Spatial Analysis of Obesity and Its Associations with the Built and Natural Environment, Physical Inactivity, and Socioeconomic and Demographic Conditions in the United States of America
… in the US, a clearer understanding of how spatial associations between obesity and confounding factors are interrelated is crucial to better tackle the issue of obesity. This study employs the ‘global’ and ‘local’ Exploratory Spatial Data Analysis (ESDA) methods including the Ordinary Least …
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Developing A Geospatial Protocol For Coral Epizootiology
… how geographic information systems (GIS) and spatial statistics, specifically the techniques used to map, detect, and spatially analyze disease epidemics, could be used to advance our understanding of coral reef health. Given that different types of spatial analysis, as well as different …
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