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 118 for “"Spatial autocorrelation"”.
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Land use allocation in Zhangjiakou City under a spatial autocorrelation perspective
… with other neighboring areas—without considering spatial autocorrelation, the mechanism for land use changes can hardly be properly revealed. Zhangjiakou, Hebei, China is one typical example to include the spatial autocorrelation when we discuss the land use change models, since counties in …
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The spatial autocorrelation of individual tree characteristics in loblolly pine stands
Mathematical methods of assessing the spatial autocorrelation associated with individual tree characteristics in forest stands were identified. These measures were used to investigate the spatial autocorrelation of discrete tree characteristics including the species, product, and defect …
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Using Plant Epidemiological Methods to Track Computer Network Worms
… possible approach is outlined for predicting the spatial flow of a worm within the local area network (LAN). The approach in this research is based on the application of mathematical models and variables inherent in plant epidemiology. In particular, spatial autocorrelation has been identified as …
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Statistical methods for quantification of voxel-level image noise in PET/CT imaging
… we suggest a practical method to estimate the spatial autocorrelation function of an individual clinical PET image. We normalize the image data using the estimated Gamma model parameters and then estimate the spatial autocorrelation function of PET image data by fitting the 3-D auto-regressive …
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Spatio-temporal Variability in Surface Ocean pCO2 Inferred from Observations
… of surface ocean pCO2 is examined on multiple spatial and temporal scales. Temporal autocorrelation analysis is used to examine pCO2 variability over multiple years. Spatial autocorrelation analysis describes pCO2 variability over multiple spatial scales. Spatial autocorrelation lengths range …
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Assessing the Imprint of Geography, Host Species, Land Cover and Space on the Local Abundance of a Generalist Nest Parasite, the Brown-headed Cowbird
… analysis that takes into account spatial autocorrelation. Our primary objective was to compare the relative effects of geography, land cover, host species, and space on the local abundance of cowbirds. We used data from the North American Breeding Bird Survey, the National Land …
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Improving Computation for Hierarchical Bayesian Spatial Gaussian Mixture Models with Application to the Analysis of THz image of Breast Tumor
… The second chapter discusses how to incorporate spatial autocorrelation in linear a regression model with an emphasis on the computational framework for estimating the spatial correlation patterns. </p> <p>The third chapter starts with an overview of Gaussian mixture models (GMMs). However, …
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Host Plant and Spatial Influences on the Natural Enemy Community Structure of a Host Specific Insect Herbivore
Both environmental variation and spatial autocorrelation play roles in structuring communities at all spatial scales. However, untangling the respective contributions of these sources of variation represents a long-standing, complex, and methodologically ever-evolving question for community …
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Modelling Avian Distributions of the Navarrese Region in Northern Spain with a Geographic Information System
… distributions from logistic regressions. A spatial autocorrelation analysis was conducted to characterize the distribution patterns and to incorporate spatial factors (neighborhood effects) into their analysis.</p> <p>All nine patterns analyzed exhibited a high level of spatial …
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Spatial Patterns in a 40-year-old Slash Pine (Pinus elliottii Engelm.) Forest in the Coastal Plain of South Carolina
… Site near Aiken, SC to: 1) characterize the spatial patterns of soil and forest floor variables (moisture, pH, soil phosphate, forest floor and soil carbon and nitrogen, and soil available nitrogen), 2) assess the spatial patterns of the plant community, and 3) investigate spatial …
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Seismic site characterization using broadband and DAS ambient vibration measurements on Mt Etna, Italy
… (H/V) spectral ratios and the spatial autocorrelation method (SPAC) have proven to be valuable tools to gain insight into local site effects by ambient noise measurements. Here, the two methods are employed to assess the subsurface velocity structure at the Piano delle Concazze …
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Crash severity modeling in transportation systems
… incidence is not likely valid. For instance, spatial and temporal autocorrelations are important sources of dependency among observations that may bias estimates if not considered in the modeling process. Moreover, there are other aspects of vehicular travel that may influence crash severity …
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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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The Economic Impacts of Forest Pathogens in Washington State: A Hedonic Approach
… models to control for omitted variable bias and spatial autocorrelation. Results show statistically significant impacts on property values in the presence of species specific and aggregate defoliation, suggesting new information for forestry management and policy.
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Spatial and Temporal Genetic Heterogeneity in a Natural Daphnia Population: Ecological and Physiological Differences Between Genotypes (Cladocera, Freshwater, Parthenogenesis)
A three and one-half year study of spatial and temporal genetic heterogeneity in a population of the cyclically, parthenogenetic cladoceran, Daphnia pulex, inhabiting a permanent farm pond in east-central Illinois, indicated that electrophoretically distinct genotypes (clones) are frequently …
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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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The Economic Impacts of Forest Timber Methods in Washington State: a Hedonic Approach
… models to control for omitted variable bias and spatial autocorrelation. The results show statistically significant impacts on property values for both cutting methods, adding important information for forest managers.
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Modeling Spatial Spillover Effects From Rental to Owner Housing: The Case of Seattle
… sensitive to which years are pooled and which spatial subsets are taken. The fact that the pre-post relationship is not found to be robust in the case of Seattle is cause for concern since it is at the heart of the analysis. Spatial fixed effects did not fully control for spatially correlated …
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Sustainable metropolitan growth strategies : exploring the role of the built environment
… research, I explore the potential for utilizing spatially detailed administrative data to calibrate urban models and support metropolitan planning. I structure this study in three separate essays. In these essays, with several newly available fine-grained administrative datasets and advanced …
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