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 9 of 9 for “"Areal Data"”.
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Applying an Intrinsic Conditional Autoregressive Reference Prior for Areal Data
… models are useful for modeling spatial data because they have flexibility to accommodate complicated dependencies that are common to spatial data. In particular, intrinsic conditional autoregressive (ICAR) models are commonly assigned as priors for spatial random effects in hierarchical …
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Air photo interpretation for the measurement of changes in urban land use
… are developed. Use is made of these to obtain data for geographical research and as basic information for town planning. - A land use classification scheme suited to the requirements of geographical research, and compatible with the limitations of the air photograph as a data source, is …
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Statistical Monitoring and Modeling for Spatial Processes
… and Bayesian hierarchical models for spatial data. Usually, if prior information about a process is known, it is important to incorporate this into the monitoring scheme. For example, when monitoring 30-day mortality rates after surgery, the pre-operative risk of patients based on health …
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Bayesian Factor Models for Clustering and Spatiotemporal Analysis
Multivariate data is prevalent in modern applications, yet it often presents significant analytical challenges. Factor models can offer an effective tool to address issues associated with large-scale datasets. In this dissertation, we propose two novel Bayesian factors models. These models are …
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Multiscale decomposition of spatial lattice data for hotspot prediction
… Transform (DPT) theory for irregular lattice data as well as consider its efficient implementation, the Roadmaker's Pavage algorithm (RMPA), and visualisation. The DPT was derived considering all possible connectivities satisfying the morphological definition of connection. Our implementation …
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The measurement and characterization of surface topography
… a stylus transducer and is designed to gather areal data from nominally flat surfaces using a multiple parallel traversing technique. The system is computer controlled and makes use of an original sampling technique known as 'sampling in space. ' This permits the use of signal averaging to …
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The Control of Cell Division During the Immune Response
… land use by means of aerial photography produces areal data of an accuracy, and in such a form, as to be suited to the purposes specified.
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Methods and applications for space-time data
Spatial and spatio-temporal data are presented in a variety of forms and require a unique set of techniques to analyze. The goal of such analyses is often to estimate the spatial and/or temporal dependency structures of the underlying random field. This estimation in turn can then be used to make …
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Predictive Model Fusion: A Modular Approach to Big, Unstructured Data
Data sets of increasing size and complexity require new approaches for prediction as the sheer volume of data from disparate sources inhibits joint processing and modeling. Rather modular segmentation is required, in which a set of models process (potentially overlapping) partitions of the data to …