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 104 for “"Spatial Dependence."”.
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DISCRETE CHOICE UNDER SPATIAL DEPENDENCE AND A MODEL OF INTERDEPENDENT PATENT RENEWALS
… review of studies that have focused on spatial dependence with discrete choice dependent variables; recent contributions include Pinkse and Slade (1998), LeSage (2000), Kelejian and Prucha (2001), Beron and Vijverberg (2004), and Wang et al. (2009). A major difficulty in the estimation …
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Three essays on spatial econometrics with an emphasis on testing
Spatial Modeling has been one of the important parts in Applied Econometrics as well as Econometrics Theory in the past thirty years, not only because of the nature that the geographic locations and interactions play a crucial role in forming behavior, but also because of the challenging problems …
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Spatial variability of soil biological and chemical indicators in selected soils in South Africa
Understanding the spatial variability of selected soil fertility indicators could make it possible to optimize the use of agricultural inputs with the reduction of economic and environmental risks. The aim of this study was to determine the degree of spatial variability of soil fertility indicators …
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Examining the Influence of Landscape on Natural Resource Management in the American West: A Geospatial Approach
… 2 examines moose habitat preferences with a spatial discrete-choice model. The study tests for spatial autocorrelation and compares the results to results from nonspatial models. The objective of this analysis is to explore the human-based and naturally occurring determinants of moose habitat …
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Modeling Temporal and Spatial Data Dependence with Bayesian Nonparametrics
<p>In this thesis, temporal and spatial dependence are considered within nonparametric priors to help infer patterns, clusters or segments in data. In traditional nonparametric mixture models, observations are usually assumed exchangeable, even though dependence often exists associated with the …
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Using Bayesian Hierarchical Models to Study the Spatial and Temporal Distribution of Mammals in Serengeti National Park
… on environmental variables while accounting for spatial and temporal dependence. We develop a join statistic to measure the spatial dependence of data. Then we create a metric that compares the spatial clustering that exists when the data is compared at different time intervals. This shows how …
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Evaluation of spatial and temporal models to assess the bioaccumulation of trace metals in marine invertebrates
… economic impact. For both species the problem of spatial dependence was addressed on two different scales. In either case the goal of the studies was to quantify the range of spatial dependence and to obtain information from which distance on data of samples will be stochastically independent. In …
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Three essays on housing economics
… includes two chapters that investigate the spatial behavior of housing price and its volatility and one chapter that focuses on a more fundamental housing issue. The first chapter examines the spatial variation of housing price volatility. I develop a flexible spatial volatility model for …
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Essays in Financial Development and Income Inequality
… development and income inequality based on spatial data analysis. As is well known, provincial Gini coefficients are not available for a few provinces and for certain years. To deal with this missing data, a GMM regression was estimated by using available data to obtain predicted values for …
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Assessing growth preferences on the rural-urban fringe using a discrete choice model and spatial analysis methods
… how these preferences are distributed across spatial scales. My research takes place in two case study sites–Will County, Illinois and Jasper County, Iowa–characterized as mixed-use landscapes with strong agrarian roots, close proximity to large metropolitan centers, and conservation …
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Modeling Conditional Heteroskedasticity in Time Series and Spatial Analysis
… investigates heterogeneity in the assessment of spatial dependence by exploring (jointly) two main mechanisms: distributional misspecification and conditional heteroskedasticity. I first derive a simple specification test for spatial autoregressive model using the information matrix (IM) test …
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A Monte Carlo calculation of neutron reflection from various curved surfaces
… A study of the factors which determine the spatial dependence of the reflected flux shows that the probability of emergence of a neutron, traveling a fixed distance from a point inside the reflector, depends upon the curvature of the surface. It is only for cylindrical geometry that this …
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Cape Town Airbnb price prediction: an exploration of spatial statistic and machine learning methods
… Using data from InsideAirbnb, traditional, spatial and machine learning models are compared and contrasted. The Cape Town Airbnb market has significant spatial correlation and heterogeneity, and traditional models such as OLS regression do not account for this spatial dependence, however, it …
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Variabilidade espacial de atributos físicos em latossolo amarelo de área experimental
… objective of this study was to investigate the spatial variability of soil physical properties in the area of production under experimental Oxisol. The study was conducted at the Experimental Farm Cha-of- Garden, CCA / UFPB, in 2011. The trial was conducted in Oxisol and analyzed the following …
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Modeling Regional Variation of Cortical Spreading Depression: A Computational Study
… on previous findings. From there, we investigate spatial variance of CSD in two ways. First, the natural occurrence of spiral wave patterns in a homogeneous domain. Second, we introduce spatial dependence of parameters to investigate how the varied structure of the hippocampus can impact CSD.
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Spectroscopy of correlated nanowires
… interact as they traverse the nanotube, and its spatial dependence indicates whether electron transport is ballistic or di usive. This technique is also used to identify inelastic scattering from local defects that are tunable with a gate voltage. In the case of LSMO nanowires, competition …
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Spatio-Temporal Cluster Detection and Local Moran Statistics of Point Processes
<p>Moran's index is a statistic that measures spatial dependence, quantifying the degree of dispersion or clustering of point processes and events in some location/area. Recognizing that a single Moran's index may not give a sufficient summary of the spatial autocorrelation measure, a local …
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A variational approach for the calculation of resonance escape probabilities in slab lattices
… resonance approximations.The knowledge of the spatial dependence of the flux in the fuel region is not required. Isotropic scattering and a l/E spectrum above the resonance are assumed. The method is set up for a pure non-scattering uranium-238 absorber and a non-absorbing water moderator …
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Essays on Public Economics and Spatial Econometrics
… purpose of this study is to investigate the spatial interdependence of fiscal variables (budget balance, tax revenue, and public expenditure) and the spillover effect of conflict on the level of local jurisdictions. The first study provides an empirical investigation of fiscal interactions in …
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Height error mapping and compensation for a fused filament fabrication machine
… capable of reducing systematic height errors and spatial dependence of height errors over the work volume studied. However, these improvements are attenuated by an accompanying increase in random height variation resulting from the intervention. Recommendations for further testing, refinement, and …
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