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 20 of 26 for “"spatiotemporal analysis"”.
-
Vector Zonal Operations for Spatiotemporal Analysis
… data and lack the capability of performing spatiotemporal analysis. This research developed zonal operations for spatiotemporal analysis where spatiotemporal zones can be defined in the vector data model. The zonal operations were used to extract watershed hourly or daily precipitation for …
-
Bayesian Factor Models for Clustering and Spatiotemporal Analysis
… dimension reduction. Our first model is for spatiotemporal areal data. In this case, the region of interest is divided into subregions, and at each time point, there is one univariate observation per subregion. Our model writes the vector of observations at each time point in a factor model …
-
Basin-scale spatiotemporal analysis of hydrologic floodplain connectivity
… an automated model combining GIS and numerical analysis software, this study examined floodplain inundation patterns and measured floodplain connectivity for the Mahantango Creek watershed (Pennsylvania, USA). Connectivity was quantified by developing a metric that included inundation area and …
-
Urban informatics: Systems science and machine learning in spatiotemporal analysis
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01
-
Drought in the Colorado River Basin: Spatiotemporal Analysis using an Edge Detection Filter
… changes over time. A Principal Components Analysis was performed for both the mapped index and edge detection outputs to determine whether there were specific patterns within the data. This data analysis identified repeating spatial patterns between each of the identified drought periods …
-
Risky Businesses: A Micro-Level Spatiotemporal Analysis of Crime, Place, & Business Establishment Type
… gaps in our knowledge about micro-level spatiotemporal patterns of crime. These gaps in micro-level environmental criminology research have primarily been a result of the lack of access to data, availability of ancillary data (land-use & business establishment data), accuracy of geocoded …
-
A CyberGIS environment for spatiotemporal analysis: a case study of China mortality data
… of 1991 – 2000, using a suite of spatial data analysis methods integrated within the CyberGIS application that supports interactive exploratory analysis. The application demonstrates the novelty and utility of CyberGIS in this public health case study in the following four aspects. 1. Spatial …
-
Bayesian Probabilistic Reasoning Applied to Mathematical Epidemiology for Predictive Spatiotemporal Analysis of Infectious Diseases
… reasoning under uncertainty suits well to analysis of disease dynamics. The stochastic nature of disease progression is modeled by applying the principles of Bayesian learning. Bayesian learning predicts the disease progression, including prevalence and incidence, for a geographic region …
-
A spatiotemporal analysis of Army base distributions in the contiguous United States from 1800 to 1900
… likely introduces an appealing, yet needed, spatiotemporal perspective on the historical geography of these forts in the contiguous United States.
-
A spatiotemporal analysis of Army base distributions in the contiguous United States from 1800 to 1900
… likely introduces an appealing, yet needed, spatiotemporal perspective on the historical geography of these forts in the contiguous United States.
-
Bias Reduction in Machine Learning Classifiers for Spatiotemporal Analysis of Coral Reefs using Remote Sensing Images
… 3) A Generalized Machine Learning Classifier for Spatiotemporal Analysis of Coral Reefs in the Red Sea. The aim of this dissertation is to propose and evaluate a methodology for developing a robust machine learning classifier that can effectively be deployed to accurately detect coral reefs at …
-
Inferring Degree Of Localization Of Twitter Persons And Topics Through Time, Language, And Location Features
… of the followers. For global influencers, spatiotemporal analysis helps understand the evolution of their popularity over time. When applied over message traffic, the approach can differentiate top trending topics and persons in different geographical regions. Fourth, we constrain a …
-
Inferring Degree of Localization of Twitter Persons and Topics Through Time, Language, and Location Features
… of the followers. For global influencers, spatiotemporal analysis helps understand the evolution of their popularity over time. When applied over message traffic, the approach can differentiate top trending topics and persons in different geographical regions. Fourth, we constrain a …
-
Reservoir monitoring using induced seismicity at a petroleum field in Oman
This thesis presents methods of analysis and results from a petroleum reservoir monitoring application using induced seismicity data. The dissertation work is comprised of four major studies, each focusing on a different aspect of induced seismicity. First, methods and issues in location of induced …
-
Social geographies of seasonal labor migration in rural western India
… of production. Second, through a gendered spatiotemporal analysis of seasonal migration of rural laborers, I show how masculinity at the margins of the society is iteratively constructed both in opposition to dominant forms of masculinity, as well as through the continued exploitation of …
-
Integration of Satellite Remote Sensing and Ground-based Measurement for Modelling the Spatiotemporal Distribution of Fine Particulate Matter at a Regional Scale
… seeks to advance the methodologies involved in spatiotemporal analysis of air quality that integrates remotely-sensed data and in situ measurement. Aerosol optical depth (AOD) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) is analyzed to estimate fine particulate matter …
-
Mining Complex High-Order Datasets
… of an appropriate structure for storage and analysis of complex datasets is a vital but often overlooked decision in the design of data mining and machine learning experiments. Most present techniques impose a matrix structure on the dataset, with rows representing observations and columns …
-
Advanced Data Analysis Of In-Situ Bioremediation Site Data Using Dimensionality Reduction Techniques
… In this study a new method of multivariate spatiotemporal analysis was developed using principal component analysis (PCA), with the purpose of including multiple analytes and multiple intermediate sampling results in a single analysis. The new PCA “state-trajectory” method visualized …
-
Visual region understanding: unsupervised extraction and abstraction
… security infrastructure, robotics, medical image analysis, visual data categorisation and search, and smart device user interaction, to name a few. Out of all the complex problems tackled by computer vision today in context of these technologies, that which lies closest to the original goals of …
-
Spatiotemporal Generalized Additive Model: Investigating Weather-Related Road Crashes in Southern Finland
… and accident risk. This thesis presents a spatiotemporal generalized additive model to explain which weather conditions increase the risk of a crash in the Finnish regions of Uusimaa and Varsinais-Suomi. The work also explores the spatial and temporal trends which are associated with a …
Page 1 of 2