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 17 of 17 for “"Spatio-temporal model"”.
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Advancing PSS with complex urban systems sciences and scalable spatio-temporal models
… Support System (PSS) with a core of dynamic spatio-temporal model has been developed as analytical and information tools to aid and inform urban planning processes. However, scholarly communities identify that PSS has yet been popularized in planning practices, and not fully capable of …
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Change Point Detection in Time Series via Multivariate Singular Spectrum Analysis
… sequential hypothesis testing. In particular, we model the underlying dynamics of multivariate time series observations through the spatio-temporal model introduced recently in the mSSA literature. The change points in such a setting correspond to a change in the underlying spatio-temporal model. …
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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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Spatio-temporal modelling of breast cancer incidence between 2000 and 2021 at sub-national levels in Iran: Bayesian disease mapping
… in Iran from 2000 to 2010 using a Bayesian spatio-temporal model. Then, I’ve propagated uncertainty from the spatio-temporal model into the prediction model for the years from 2011 to 2021. The national relative risk of breast cancer incidence in Iran increased from 0.21 (95% credible …
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Mathematical Modelling of the Immune Response to Cancer
… logical explanation underpins the mathematical modelling in this PhD thesis where mathematical models of pre-angiogenic immune-tumour interactions are presented and analysed. Chapter two develops an individual-based model of immune-cancer cell interactions using the computational simulation …
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Generation of qualitative spatio-temporal representations from visual input
… domains is to provide a context specific spatial model of that domain. Such a model of space is particularly useful when considering spatial event detection where the location of an object could indicated the behaviour of that object within the domain. To date, this approach has suffered the …
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Computational Bayesian inference using low discrepancy sequences
… Bayesian inference for complex hierarchical models. For INLA, and other deterministic methods, the hyperparameter space is explored and points are laid out in a grid structure. These points are used in some numerical integration scheme for which marginal posterior distributions are computed. …
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Models and methods for computationally efficient analysis of large spatial and spatio-temporal data
… devoted to computationally efficient methods and models for large spatial and spatio-temporal data. Several approximation methods to "the big n problem" are reviewed, and an extended autoregressive model, called the EAR model, is proposed as a parsimonious model that accounts for smoothness of a …
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Investigating the Valley Fever – Environment Relationship in the Western U.S.
… environmental variables and valley fever by modeling the spatial and temporal dynamics of the disease using varying techniques. Chapter 1 discusses relevant literature before discussing the challenges associated with studying valley fever. Chapter 2 analyzes the temporal relationships between …
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Examing the evidence for a pitch centre in human auditory cortex: a multi method approach
… (e.g., timbre). Under this assumption, the spatio-temporal model of pitch perception may best describe the neural mechanism underpinning pitch perception. Several recommendations are made to address challenges to interpretation identified throughout this PhD, which are likely to guide …
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Truck Activity Pattern Classification Using Anonymous Mobile Sensor Data
… GPS traces, (2) development of a classification model to distinguish trucks by industry, and (3) estimation of a spatio-temporal regression model to capture rerouting behavior of trucks. </p> <p>First, we developed a K-means unsupervised clustering algorithm to find unique and representative …
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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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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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CLASSIFICATION OF ONE-DIMENSIONAL AND TWO-DIMENSIONAL SIGNALS
… stimuli in smokers. A multichannel spatio-temporal model is employed to overcome the curse of dimensionality that plagues the design of parametric multivariate classifiers for multi-channel ERPs. The strategy is tested on the ERPs of 156 smokers who participated in a smoking …
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Expressive Forms of Topic Modeling to Support Digital Humanities
… to structure this massive amount of data. Topic modeling is one of the most used techniques for analyzing and understanding the latent structure of large text collections. Probabilistic graphical models are the main building block behind topic modeling and they are used to express assumptions …
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Understanding and Modeling Taxi Demand Using Time Series Models
<p>The spatio-temporal variations in demand for transportation, particularly taxis, are impacted by various factors such as commuting, weather, road work and closures, disruption in transit services, etc. Identifying the factors that influence taxi demand and understanding its dynamic provide …
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Mathematical modelling of the innate and adaptive immune response to solid tumours
In this thesis mathematical models describing the growth of a solid tumour in the presence of an immune response are presented. Specifically, attention is focused on the interactions between cytotoxic T-lymphocytes (CTLs) and tumour cells in a small, avascular multicellular tumour. At this stage of …