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Full-Text Articles in Physical Sciences and Mathematics
Time Series Analysis Of Weather Data In South Carolina, Geophrey Odero
Time Series Analysis Of Weather Data In South Carolina, Geophrey Odero
Theses and Dissertations
This thesis discusses time series analysis of weather data in South Carolina for the last fifteen years (January 2003 to December 2017) for Columbia, Greenville and North Myrtle Beach. The first part presents a brief overview of different variables that are used in the analysis. That is, temperature, dew point, humidity and sea level pressure. A short discussion of time series data is also introduced. The second part is about modeling the variables. The models of choice are presented, fitted and model diagnostics is carried out. In the third part, we discuss background on climates of the cities and model …
Spatio-Temporal Analysis Of Precipitation And Flood Data From South Carolina, Haigang Liu
Spatio-Temporal Analysis Of Precipitation And Flood Data From South Carolina, Haigang Liu
Theses and Dissertations
Spatio-temporal data are everywhere: we encounter them on TV, in newspapers, on computer screens, on tablets, and on plain paper maps. As a result, researchers in di- verse areas are increasingly faced with the task of modeling geographically-referenced and temporally-correlated data. In this dissertation, we propose two different spa- tiotemporal models to capture the behavior of rainfall and flood data in the state of South Carolina.
Both models are built using a Bayesian hierarchical framework, which involves specifying the true underlying process in the first level and the spatio-temporal ran- dom effect in the second level of the hierarchy. The …
The South Carolina Safety Belt Study: Large-Scale Location Sampling, Stephanie Jones
The South Carolina Safety Belt Study: Large-Scale Location Sampling, Stephanie Jones
Theses and Dissertations
The South Carolina Safety Belt Study is a statewide survey completed yearly to assess the prevalence of safety belt usage on of South Carolina roads through observations from different locations across the state. Every five years the sites for observation are resampled. This thesis breaks down the most recent sampling done for the years of 2018 through 2022. Both the methodology of large scale location sampling and the mathematical idea behind the strategy employed are covered. Further, three different software packages were utilized: R, SAS, and ArcGIS. The steps that were taken and the written function code run for each …