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 37 for “"Spatial Interpolation"”.
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Nonparametric modeling of dependencies for spatial interpolation
Crucial in spatial interpolation of stochastic processes is the determination of the underlying dependency of the data. The dependency can be represented by an underlying covariogram, variogram, or generalized covariogram. Estimating this function in a nonparametric way is the theme of this thesis. …
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A comparison of spatial interpolation techniques in temperature estimation
Spatially distributed estimates of meteorological data are becoming increasingly important as inputs to spatially explicit landscape, regional, and global models. Accurate estimates of meteorological values such as temperature, precipitation, and evapotranspiration are required for a number of …
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Flexible spatial interpolation and uncertainty quantification : with applications in radar rainfall estimation.
… are used to predict precipitation with high spatial and temporal resolution, but do not measure ground level rainfall intensity, which is the quantity of interest. To account for the error resulting from the use of a proxy variable, predictions are calibrated to ground level measurements of …
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A Comparison of Spatial Interpolation Techniques for Determining Shoaling Rates of the Atlantic Ocean Channel
… cross section of a survey. Using a variety of spatial interpolation methods, depths of these unmapped areas were produced. The choice of spatial interpolator varied upon which method adequately produced surfaces from large hydrographic survey data sets with the lowest amount of prediction …
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Evaluation of Spatial Interpolation Techniques Built in the Geostatistical Analyst Using Indoor Radon Data for Ohio,USA
… six geographical information system (GIS) based interpolation techniques to estimate the radon concentration in the unmeasured zip codes in the State of Ohio. The radon concentration in homes has been obtained by The University of Toledo researchers from various commercial testing services, …
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Dynamic Bayesian models for modelling environmental space-time fields
This thesis addresses spatial interpolation and temporal prediction using air pollution data by several space-time modelling approaches. Firstly, we implement the dynamic linear modelling (DLM) approach in spatial interpolation and find various potential problems with that approach. We develop …
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A GIS Approach to Modeling Groundwater Levels in the Mississippi River Valley Alluvial Aquifer
… modeling of groundwater levels through various spatial interpolation methods. Interpolation is the process of estimating unknown values in the form of a continuous surface, which utilizes observed values with known locations. With the growing concern of groundwater depletion in Arkansas, …
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AN ANALYSIS OF LOBLOLLY PINE AND SHORTLEAF PINE HYBRIDIZATION USING CHROMATOGRAPHY AND GEOGRAPHIC INFORMATION SYSTEMS: A CASE STUDY IN EAST TEXAS
… from hybridization, quantifying hybridization spatially is a growing concern as southeastern United States pine forests are increasingly influenced by improved pine genetics and warmer, drier conditions from climate change. High Performance Liquid Chromatography (HPLC) and spatial interpolation …
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A New Analog for Numerical Flow Simulations Application to Direct Assessment of Reservoir Flow Performance Uncertainties
… from local uncertainty, derived using simple spatial interpolation techniques, to flow uncertainty, skipping the intermediate step of stochastic sequential simulations and not requiring any detailed fine-scale flow simulations.
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Spatio-Temporal Analysis of Observed Soil Moisture from Nebraska
… Data from these stations are evaluated on the spatial and temporal scales using spatial interpolations, time-series analysis, and cross-correlations to better understand the variations of soil moisture in the Northern Great Plains. Spatial interpolation grids were created for May through …
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Topics in interpolation and smoothing of spatial data
… thesis addresses a number of special topics in spatial interpolation and smoothing. The motivation for the thesis comes from two projects, one being to extend the availability of a daily rainfall model for southern Africa to sites at which little or no rainfall data is available, using data from …
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A Study of Model Integration in Conjunction with the eXtensible Model Definition Format
… of the XMDF project is to facilitate the spatial interpolation and data-sharing necessary when linking models. The objective of this research is to investigate how model linking capabilities can be added to the XMDF by defining a Model Linkage Object (MLO) that is compatible with current …
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Spatial and temporal population dynamics of yellow perch (Perca flavescens) in Lake Erie
… The study of yellow perch's temporal and spatial population dynamics is important for both stock assessment and fisheries management. I explore the spatial and temporal variation of the yellow perch population by analyzing the fishery-independent surveys in Lake Erie. Model-based …
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Validation of methods for adjusting construction cost estimates by project location
… industry has adopted a simple, proximity-based interpolation method which uses the “nearest neighbor” location factor to estimate unknown location factors. Although this approach is widely accepted, its validity has not been statistically substantiated. This study assessed the current method of …
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A breath of fresh air the use of geographic information systems for the sustainable management of air quality in Malta
… use of Geographical Information Systems, namely, spatial interpolation to predicting air pollutants in unsampled locations. The influence of road traffic and other factors which impinge on the air pollutants‟ concentrations was analysed using the Pearson Product Moment Coefficient. Special …
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Fractal relationships and spatial distribution of ore body modelling
The nature of spatial distributions of geological variables such as ore grades is of primary concern when modelling ore bodies and mineral resources. The aim of any mineral resource evaluation process is to determine the location, extent, volume and average grade of that resource by a trade off …
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Three essays on agricultural risk and insurance
… a book of business using hail insurance data. A spatial statistical approach is employed to measure the spatial correlation of hail loss cost. Monte Carlo simulation techniques are employed to simulate hail losses for a wide range of books of business. A regression model is estimated that …
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Models and methods for computationally efficient analysis of large spatial and spatio-temporal data
… of data are often observed at a large number of spatial locations (n). However, statistical analysis is usually not feasible or not computationally efficient for such large dataset. This is the so-called "big n problem".</p><p>The goal of this dissertation is to contribute solutions to the "big n …
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Spatial precipitation trends and effects of climate change on the Hawai'ian Hualalai aquifer
… in temperature are well studied and understood spatially and temporally at a multitude of scales, trends in precipitation are less understood. As the predominant source of groundwater recharge in Western Hawai'i, precipitation plays a vital role in maintaining tourism and industry throughout the …
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The Use of Remote Sensing for Mapping Possible Vectors of West Nile Virus in Mississippi
… methods of mosquito surveillance and to map the spatial distribution of mosquito habitats. This, in turn, affords optimism for improved vector/disease management to identify the best use of remote sensing data and geo-statistical techniques to predict and map the spatial distribution of …
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