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.
Results
Showing 1 to 20 of 88 for “"Spatial statistics."”.
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Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data
The direct influence of spatial and structural arrangement in various length scales to the performance characteristics of materials is a core premise of materials science. Spatial correlations in the form of n-point statistics have been shown to be very effective in robustly describing the …
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Models and Methods for Random Fields in Spatial Statistics with Computational Efficiency from Markov Properties
… to a certain SPDE, and is useful for large spatial problems where traditional methods are too computationally intensive to use. A variation of the method using wavelet basis functions is proposed and using a simulation-based study, the wavelet approximations are compared with two of the most …
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Assessing Landscape Change in Western Honduras, 1957-2010
… photography, satellite imagery, and quantitative spatial statistics to evaluate landscape change in western Honduras between 1957 and 2010, and specifically focuses on changes in tree cover. Results from repeat photography and satellite classification show an increase in tree cover. Spatial …
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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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Toward Ideal Large-Eddy Simulation
… a simulation using the ideal model matches all spatial statistics and minimizes error in the large-scale dynamics. However, the ideal model embodies a tremendous amount of information, making it impractical to determine. Instead, it must be approximated. The ideal subgrid model is approximated …
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Spatial and Temporal Topological Analysis of Landscape Structure using Graph Theory
… of a landscape. Traditional approaches to spatial analysis mainly entail the use of spatial statistics and classical spatial data structures to analyse the composition of a landscape. However, such analyses are unable to capture the essence of landscape configuration because spatial …
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Variation In African American English: The Great Migration And Regional Differentiation
… US, and apply traditional sociophonetic methods, spatial statistics, and clustering analyses.
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An exercise in selecting low-cost air quality sensor placements within an urban environment
… thesis outlines a proven decision method from spatial statistics: optimal experimental design, and applies the method to a test case in the city of London.
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Learning the dynamics of deformable objects and recursive boundary estimation using curve evolution techniques
… a variational technique that incorporates the spatial statistics of the underlying field to segment the boundary and estimate the field on either side of the boundary. For image segmentation across a sequence of frames, we propose a method for learning the dynamics of a deformable boundary that …
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Path planning of agricultural UAVs for combined coverage and spot spraying application
… approach leverages unsupervised clustering, spatial statistics, and optimization techniques to identify weed-dense regions and minimize non-target spraying. Incorporating Density-Based Spatial Clustering of Applications with Noise (DBSCAN) with principal component analysis (PCA) and adapting …
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Predictive modeling of soluble sulfate ion concentration in the Las Vegas Valley
… were reviewed and analyzed with traditional non-spatial statistics and spatial-based geostatistical modeling. This study was undertaken in an effort to identify factors that may correlate with soluble sulfate ion concentrations and to determine the feasibility of producing a predictive model …
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Semiparametric estimation with clustered right censored data via multivariate gaussian random fields
… data is considered pairwise to account for spatial correlation between all pair of areas. The pairwise right censored data is probit-transformed yielding a multivariate Gaussian random field preserving the spatial correlation function. The data is analyzed using counting process and …
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DESIGN AND IMPLEMENTATION OF A CO-LOCATION ANALYSIS TOOL
… video cameras, has resulted in an abundance of spatial data. Therefore, there is an increasing interest in mining hidden patterns in spatial data. Discovery of co-location patterns has been a research area in association analysis for several years. In this thesis, we designed and implemented a …
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The structural neurobiology of social anxiety disorder : a clinical neuroimaging study
… were performed using FSL's tract - based spatial statistics comparing fractional anisotropy (FA), mean diffusivity (MD) in individuals with SAD. Manual tracing demonstrated that compared to controls, SAD patients showed an enlarged right globus pallidus. Cortical thickness analyses …
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Spatial Pattern Analysis of Tree Species Distribution in a Central Appalachian Upland Heath Barren
The spatial pattern of plants reflects biotic and abiotic factors, including interactions with surrounding environmental conditions and other plants. Appalachian heath systems are presently understudied regarding spatial point pattern research, despite representing a unique and biologically …
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Modelling inter- and intra-specific competition effects in loblolly pine (Pinus taeda L.) plantations
… including distributional parameters and spatial statistics. This study addressed four aspects of competition effects: 1) competition effects on distributional parameter dynamics of tree size variables; 2) inter-specific (loblolly pine vs. hardwood) and intra-specific competition effects …
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Relationship between white matter changes and aggression in methamphetamine dependence
… comparison across subjects using tract based spatial statistics (TBSS) in FSL was used. Fractional anisotropy (FA), mean diffusivity (MD), parallel diffusivity (λ║) and perpendicular diffusivity (λ┴) were compared between the two groups. Second, a region of interest (ROI) approach was …
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Increasing Equitable Food Access Within Food Deserts in Urban Areas: A Case Study of the Kansas City Metropolitan Area
… analysis of survey and focus group as well as a spatial analysis focusing on the local urban farms in the Kansas City Metropolitan area. Spatial statistics were run on the locations of the local urban farms in an effort to determine significant clustering. This study approaches the issue of food …
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A Bayesian approach to discovery of latent dependency in point-referenced data
In spatial statistics where data usually was observed as point-referenced, classical and parametric spatial models were assumed and used to describe real-world phenomena. This is generally due to the large number of spatial locations that the spatial models should cover. However, such classical …
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