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Geographic Information Sciences Commons™
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Full-Text Articles in Geographic Information Sciences
Big Data Applications And Challenges In Giscience (Case Studies: Natural Disaster And Public Health Crisis Management), Amir Masoud Forati
Big Data Applications And Challenges In Giscience (Case Studies: Natural Disaster And Public Health Crisis Management), Amir Masoud Forati
Theses and Dissertations
This dissertation examines the application and significance of user-generated big data in Geographic Information Science (GIScience), with a focus on managing natural disasters and public health crises. It explores the role of social media data in understanding human-environment interactions and in informing disaster management and public health strategies. A scalable computational framework will be developed to model extensive unstructured geotagged data from social media, facilitating systematic spatiotemporal data analysis.The research investigates how individuals and communities respond to high-impact events like natural disasters and public health emergencies, employing both qualitative and quantitative methods. In particular, it assesses the impact of socio-economic-demographic …
The Spatial Prevalence And Associated Factors Of Opioid Overdose Mortality In Milwaukee County, Wisconsin, Andrew Schendl
The Spatial Prevalence And Associated Factors Of Opioid Overdose Mortality In Milwaukee County, Wisconsin, Andrew Schendl
Theses and Dissertations
Mortality from opioid overdose has become the leading cause of non-natural death in Milwaukee County, WI in recent years. In order to better understand the opioid epidemic and formulate pro-active responses to the crisis at the local level, this study examines the spatial prevalence and associated factors of opioid overdoses that end in mortality in Milwaukee, WI using the spatial econometrics model. The social determinants of health framework is used to identify the potential related socioeconomic factors associated with opioid abuse. Using principal component analysis, 6 primary components were identified from the chosen social determinants and used as explanatory variables …