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 55 for “"Spatial Modeling"”.
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Spatial modeling for periodic surfaces in manufacturing
High-resolution spatial data is essential for characterizing and monitoring surface quality in manufacturing. However, the measurement of high-resolution spatial data is generally expensive and time-consuming. Interpolation based on spatial models is a typical approach to cost-effectively acquire …
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Spatial modeling, covariate measurement error and design issues in environmental epidemiology
… variation across small areas. However, lack of modeling strategies for individual level covariate data is a limitation of the existing methodology. We propose an individual level covariate adjusted conditional auto-regressive (indiCAR) model to incorporate both individual and area level …
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Snowstorms in Upstate New York: synoptics, spatial modeling and temporal variability
<p>This dissertation examines the characteristics of snowstorms that affect Central New York, a subsection of the eastern Great Lakes region, in a series of chapters organized as journal articles. The first article develops a classification scheme to categorize snowstorms in Central New York from …
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Methods for the spatial modeling and evalution of tree canopy cover
… consists of three studies, focused on the spatial modeling and evaluation of tree canopy cover, drawing on recent developments and best practices in the fields of remote sensing, data collection, and statistical analysis.newlinenewline The first study evaluates how well harmonic regression …
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Spatial modeling of soil salinity using remote sensing, GIS, and field data
… information systems (GIS), remote sensing, and spatial modelling techniques. Com and alfalfa crops were selected as indicators of soil salinity during 2001 and 2004 respectively. Five images were acquired from Aster, Ikonos, and Landsat to check the correlation between measured soil salinity and …
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Artificial Intelligence and Spatial Modeling to Estimate Traffic Volume Measures on Local Roadways
… integration of artificial intelligence (AI) and spatial modeling techniques to estimate Annual Average Daily Traffic (AADT) on local roadways, which are often data-scarce yet crucial for transportation planning and infrastructure development. Traditional traffic monitoring methods, such as …
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Data-driven spatial modeling of historic and future land change at global scale
… land-cover change (LULCC) on climate requires spatially and temporally explicit data sets on LULCC spanning several decades to centuries, because climate change is a long-term problem. Though remote sensing data provides a globally consistent picture of land cover, these data are only available …
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Spatial modeling and visualization of habitat response to hydrologic restoration in New England salt marshes
… salicaria .</p><p>The model was applied to spatial grids representing marsh area at four salt marsh sites with past or current impacts due to restricted tidal flows. At each site, field data for model parameterization was acquired according to a regional data-collection protocol. To assess …
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Integrating Ontology-Based Information Extraction Systems and Spatial Modeling for Land Use Analysis and Simulation
Information Extraction (IE) is defined as the automatic identification and extraction of a predefined set of concepts, relevant to a specific domain of knowledge, ignoring irrelevant information. IE converts unstructured text into structured data and extracts the required information. IE is to some …
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Advances in spatial modeling for complex data with applications to symbolic data and spatial transcriptomics.
Spatial statistical modeling is commonly used to analyze and draw inference from data collected across geographic space, providing insight into underlying spatial processes across environmental, biological, epidemiological, and other scientific applications. Spatial data are increasingly complex, …
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Understanding Forest Landscape Response to Global Climatic Change: An Uncertainty Evaluation Based on Spatial Modeling
The forest ecosystem is one of the world's most important ecosystems that would be substantially affected by future global climatic changes in temperature, CO2, precipitation and radiation. Climatic changes may affect tree species physiology, abundance, distribution; forest community …
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RESOLVING TUMOR HETEROGENEITY THROUGH HIGH RESOLUTION MULTI-MODAL TRANSCRIPTOMICS: INTEGRATIVE SINGLE-CELL ATLASES AND GENERATIVE SPATIAL MODELING
… The second arm of the thesis addresses the spatial dimension of tumor heterogeneity. While current spatial transcriptomics platforms are limited in gene coverage, they offer unprecedented insight into the spatial architecture of tissues. To exploit this, I contributed to the development and …
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Improving Site Quality Estimates in the Upland Hardwood Forests of the Southern Appalachians with Environmental and Spatial Modeling
… of colluvial soils could be identified geospatially with a digital elevation model. Results indicated that the MRI and the Terrain Shape Index predicted the presence of colluvial deposits in the study area. The basal area of yellow-poplar was positively associated with colluvial soils. A …
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Understanding extreme behavior by optimizing tail dependence with application to ground level ozone via data mining and spatial modeling
… statistical methods for extremes. Our underlying modeling procedure identifies the linear combination of covariates that is associated with extreme values of a response variable, and is based on the framework of bivariate regular variation. We propose a data mining strategy that is suitable for an …
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Human-environment interactions and sustainable urban development : spatial modeling and landscape prediction : the case of Nang Rong town, Thailand
Thesis (Ph. D.)--Michigan State University. Department of Geography, 2010
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Environmental assessment, documentation and spatial modeling of heavy metal pollution along the Jordan Gulf of Aqaba using coral reefs as environmental indicator
… long) at depths of 4-15m, and used to determine spatial distribution of pollution. The second phase included three 20cm-deep cores obtained from within the industrial zone. These cores were drilled from pre-dated communities, where the growth rate was determined earlier to be 10mm y-1, therefore …
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A preliminary study on path planning and obstacle avoidance for construction equipment based on real-time spatial models
… planning, based on real-time three dimensional spatial modeling, have the potential not only to obviate collisions between heavy equipment and other on-site objects, but also to allow autonomous heavy equipment to move to target positions quickly without any accidents. Therefore, algorithms for …
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Spatiotemporal modeling and model restructuration approaches in studies of intracellular signalling pathways
… and cell biology in a single cell. Mathematical modeling and experimental evaluation are widely used approaches for this kind of research. Firstly, A multiscale framework for protein-protein interaction has been established using Brownian dynamics algorithm. Sit specific feature, steric …
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Mapping the gamma-ray distributions of the Magellanic Clouds
… with high enough significance to allow for spatial modeling of their gamma-ray distributions. Detections of the Milky Way by the Energetic Gamma Ray Experiment Telescope caused a boom in the field of gamma-ray spatial modeling and cosmic-ray simulation. Fermi has now set the stage for …
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Multiscale Monte Carlo study of epidermal growth factor receptor diffusion and dimerization
… and dimerization. Using the CGMC method, spatial modeling of ligand-mediated membrane receptor dimerization reaction dynamics was performed. Furthermore, the simulations demonstrate the importance of spatial heterogeneity in membrane receptor localization. Mathematical models, especially …
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