Social and Behavioral Sciences Commons^™

Sentiment Analysis Of Swedish And Finnish Twitter Users’ Views Toward Nato Pre- And Post- 2022 2nd Russian Invasion Of Ukraine, Alexander Scott Fulham

Theses and Dissertations

This study seeks to analyze the changes in Swedes’ and Finns’ opinions toward the North Atlantic Treaty Organization (NATO) in light of the 2022 2nd Russian Invasion of Ukraine. To do so, a large dataset of geotagged tweets containing keywords related to NATO is analyzed using lexicon-based sentiment analysis to study spatiotemporal trends. The study shows that overall discussion remains very neutral, with less than a quarter of all tweets having a non-zero sentiment score, and differs markedly from public opinion polling in both countries while spatiotemporally, the discussions is concentrated in the major population centers and exhibits little month …

The Role Of Geographic Context In Tornado Risk, Risk Perception, And Protective Action Behavior, Sarah L. Jackson

Theses and Dissertations

Our current understanding of tornado risk, risk perception, and protective action behavior lacks proper spatial consideration of local physical and social geographic contexts. This investigation asks how the conceptual drivers of tornado risk (geographic context, risk perception, and response) interact to create the spatiality of tornado risk. The study proposes that the inclusion of geographic context and its influence on perception and behavior produces differential tornado risk and seeks to determine which factors contribute to such variability. A novel, researcher-designed Tornado Risk of Place (TROP) conceptual model guides the methodological framework, incorporating statistical and geospatial analytics in an Illinois State …

Projecting The Effects Of Climate Change And Urbanization On Longleaf Pine Stands In The Florida Flatwoods, Lilian Grace Hutchens

Theses and Dissertations

The southeastern United States once held millions of hectares of highly connected longleaf pine ecosystem. In a dramatic range reduction, longleaf pine now occupies less than 5% of its original extent, its remnant patches existing within a matrix of human-dominated land uses. Conservation planning for longleaf pine ecosystems is complicated given the ecosystem’s reliance on fire and the broad spatial and temporal scales at which longleaf pine management must operate. Planning timelines for longleaf pine management extend into the end of the 21st century, a period during which climate, fire regimes, and land cover are all expected to change, influencing …

A Flood Of Information: Assessing The Effectiveness Of An Enhanced Flash Flood Warning Social Media Graphic, Christopher John Long

Theses and Dissertations

Flash flooding is the most frequent and damaging type of severe weather globally. In the United States, heat is the only weather-related cause of death more frequent than flooding. However, while the number of deaths associated with other types of severe weather has decreased since the 1950s, the number of flash flood-related deaths has remained steady. Therefore, there exists a need to improve flash flood warning communication.

In this project, it is hypothesized that improving the National Weather Service’s flash flood warning social media graphic by including areas that commonly flood may increase individuals’ perceived storm risk, their intended compliance …

Spatial And Age Disparities In Covid-19 Outcomes, Qian Huang

Theses and Dissertations

COVID-19 has caused significant social, economic, environmental, and political impacts globally and affected communities unequally in the U.S. The pandemic has also sparked interest in age-specific manifestations of infection, for example, studies confirmed the risk of increasing age with COVID-19 severity. However, the nonstationarity effects of health determinants among age groups have not been well examined. This study aims to explore the nonstationarity effects of social, behavioral, environmental, health care access, and political contexts on COVID-19 outcomes. This study poses three broad questions: 1) how did COVID-19 vaccinations align with COVID-19 daily cases and deaths in the United States; 2) …

Gis Analysis Of Housing Delinquency After Repeated Flooding In Horry County, South Carolina, Andrew White

Theses and Dissertations

How communities react and change after disaster has been well-studied in recent decades. Knowledge around time scales, spatial scales, and specific facets of the built environment, such as housing recovery, have all developed largely around the opportunities that disasters have provided in understanding societal functions. This research has given policy makers and institutions insights into shortcomings of disaster specific recoveries, but these shortcomings are generalized beyond the scope of the originally studied areas. This thesis adapts this body of knowledge to a GIS methodology to help localize understanding to the coastal South Carolina context of Horry County. This low-lying area …

The Role Of A Green Bank In South Carolina: A Market & Feasibility Assessment, Jory Fleming, Claire Windsor

Faculty Publications

A market and feasibility report that explores the role of a green bank in South Carolina. This report is the culmination of a multi-year process that included a comprehensive market assessment and interviews with over 60 organizations across South Carolina. It demonstrates that a green bank could play a vital role in South Carolina by creating a dedicated institution working to accelerate the flow of capital to projects that seek to reduce carbon pollution and increase resilience to climate impacts.

Neighborhood Change On The Mississippi Coast After Hurricane Katrina (2006 – 2019), Margot Habets

Theses and Dissertations

Hurricane Katrina was a historic event, forever changing many lives as well as altering impacted communities in the short and long term. In the fifteen years since the storm, patterns of damage, recovery programs and dollars, and existing neighborhood change have altered demographics in coastal Mississippi. This thesis investigates how population, median age, race, and education demographics have changed at the census tract level in the fourteen years since Hurricane Katrina (2006-2019) compared to pre-Katrina trends (1990-2000). A moving average using American Community Survey data as well as interval changes measure how different neighborhoods have been altered since the storm. …

Quantifying Human Mobility Patterns During Disruptive Events With Geospatial Big Data, Yuqin Jiang

Theses and Dissertations

Understanding human mobility patterns is an essence for geography and geographical information science. Although existing studies have found that human mobility patterns are highly predictable, such patterns can be disrupted by events, ranging from sports games to natural hazard caused evacuations. However, traditional data collection methods that heavily rely on self-reported travel behaviors are often delayed and at a small scale, and thus are often not sufficient to reveal the disrupted human mobility patterns. Fortunately, with the development of geolocating-related technologies, multiple platforms are able to capture human mobility data in unprecedented spatiotemporal scales and granularities. These data, such as …

Urban Forest Dynamics: Untangling Ecosystem Patterns At Harbison State Forest, Derek Matchette

Theses and Dissertations

As expansion continues to push the wildland-urban interface farther into the suburbs and the landscape which surrounds cities, it will become more important to understand the factors that influence species composition in remaining green spaces. Harbison State Forest, an ~890-hectare urban forest provides a convenient setting to analyze species composition patterns within a multipurpose urban green space.

The factors that can create these patterns include environmental (topography, soil nutrient content, light, temperature, and precipitation), naturally occurring disturbances that alter these factors (e.g., fire, windthrow), and anthropogenic disturbances such as logging and prescribed burning.

I measured basal area by species on …

Suas And Deep Learning For High-Resolution Monitoring Of Tidal Marshes In Coastal South Carolina, Grayson R. Morgan

Theses and Dissertations

Tidal marshes are dynamic environments, now more than ever threatened by both natural and anthropogenic forces. Best practices for monitoring tidal marshes, as well as the environmental factors that affect them, have been studied for more than 40 years. With recent technological advances in remote sensing, new capabilities for monitoring tidal marshes have emerged. One of these new opportunities and challenges is hyper-spatial resolution imagery (<10 >cm) that can be captured by small unmanned aerial systems (sUAS). Aside from enhanced visualization, structure-from-motion (SfM) technology can derive dense point clouds from overlapped sUAS images for high resolution digital elevation models (DEMs). …

Capital City Ventures Towards An Equitable Clean Energy Transition: A Case Study Comparison Between Columbia, South Carolina And Richmond, Virginia, Claire Windsor

Senior Theses

Combatting climate change requires a rapid transition to renewable sources for energy generation. In the United States, the electricity sector alone accounts for 28% of greenhouse gas emissions (28%), with about 63% of electricity generation derived from burning of fossil fuels (EPA, 2020). In order to lower greenhouse emissions from the energy sector, federal, state, and local policies must pave the way for renewable energy and energy efficiency innovations and policies. However, political action to address the effects and combat the causes of climate change have been limited due to political gridlock at the federal level. In addition, under neoliberalism, …

An Analysis Of Wet Bulb Globe Temperature Estimation Methods And Microclimate Heat Variability In Columbia, South Carolina, Stafford Mullin

Theses and Dissertations

Extreme heat is the leading cause of weather-related deaths in the United States and poses major health risks in the wake of rising global average temperatures. Wet bulb globe temperature (WBGT) is a holistic measure of human heat stress, but is not feasible to implement in most settings because the equipment is expensive and troublesome to operate. This research evaluates the performance of WBGT estimation methods using more standard meteorological variables, measured in-situ and a local National Weather Service Automated Surface Observing Station, and examines how WBGT and its components vary across two distinct microclimates in Columbia, SC. Results indicate …

Life In The Time Of Covid-19: The Everyday Impacts Of The Pandemic In Amman, Jordan, Patrick Mckenzie

Theses and Dissertations

The COVID-19 pandemic and the responses taken to combat it caused enormous changes to the everyday lives of people around the world. Jordan, in its early success against the virus and with its large refugee population, represents a unique country in which to study these everyday impacts. From May to August of 2021, I conducted ethnographic fieldwork in the Jordanian capital city of Amman while working with the refugee nongovernmental organization the Collateral Repair Project. In this thesis, I explore the COVID-19 Spectacle, examining the ways in which policies and discourses at the national and international scales bled into the …

Slow Violence And Racial Capitalism: Understanding Mass Incarceration Through A Case Study Of The California Prison System, Mason Joiner

Senior Theses

This thesis will analyze the growth of the California prison system, situating it in the national context of mass incarceration in the United States. In Ruth Wilson Gilmore’s book Golden Gulag: Prisons, Surplus, Crisis, and Opposition in Globalizing California, Gilmore utilizes the theory of racial capitalism to explain the history and development of the California prison system. By analyzing Gilmore’s arguments about racial capitalism and integrating them with Rob Nixon’s theory of slow violence from his book Slow Violence and the Environmentalism of the Poor, this thesis provides a new perspective in the current discourse around mass incarceration. …

Teaching The “Wicked” In Geography: Educational Structure, Standards, And Teacher Training As Obstacles To Teaching About Climate Change, Jerry T. Mitchell

Journal of the South Carolina Academy of Science

No abstract provided.

The Times, They Are A-Changin’: Tracking Shifts In Mental Health Signals From Early Phase To Later Phase Of The Covid-19 Pandemic In Australia, Siqin Wang, Xiao Huang, Tao Hu, Mengxi Zhang, Zhenlong Li, Huan Ning, Jonathan Corcoran, Asaduzzaman Khan, Yan Liu, Jiajia Zhang Ph.D., Xiaoming Li Ph.D.

Faculty Publications

Introduction Widespread problems of psychological distress have been observed in many countries following the outbreak of COVID-19, including Australia. What is lacking from current scholarship is a national-scale assessment that tracks the shifts in mental health during the pandemic timeline and across geographic contexts.

Methods Drawing on 244 406 geotagged tweets in Australia from 1 January 2020 to 31 May 2021, we employed machine learning and spatial mapping techniques to classify, measure and map changes in the Australian public’s mental health signals, and track their change across the different phases of the pandemic in eight Australian capital cities.

Results Australians’ …

Unmanned Aerial Remote Sensing Of Coastal Vegetation: A Review, Grayson R. Morgan, Michael E. Hodgson, Cuizhen Wang, Steven R. Schill

Faculty Publications

Coastal wetlands contribute greatly to our coasts economically and ecologically. The utility of coastal wetland vegetation, along with the multitude of dynamic forces they encounter, suggests the need of regular monitoring for sustainable management. While traditional in situ survey methods and remote sensing from space and manned platforms have provided means to monitor and study the coastal zone thus far, the recent developments of small unmanned aerial systems (sUAS) fill a small void between traditional in situ survey methods and the high spatial resolution of manned aircraft imagery. As an on-demand personal remote sensing device, an sUAS can be deployed …

At-Sensor Radiometric Correction Of A Multispectral Camera (Rededge) For Suas Vegetation Mapping, Cuizhen Wang

Faculty Publications

Rapid advancement of drone technology enables small unmanned aircraft systems (sUAS) for quantitative applications in public and private sectors. The drone-mounted 5-band MicaSense RedEdge cameras, for example, have been popularly adopted in the agroindustry for assessment of crop healthiness. The camera extracts surface reflectance by referring to a pre-calibrated reflectance panel (CRP). This study tests the performance of a Matrace100/RedEdge-M camera in extracting surface reflectance orthoimages. Exploring multiple flights and field experiments, an at-sensor radiometric correction model was developed that integrated the default CRP and a Downwelling Light Sensor (DLS). Results at three vegetated sites reveal that the current CRP-only …

Revealing Public Opinion Towards Covid-19 Vaccines With Twitter Data In The United States: Spatiotemporal Perspective, Tao Hu, Siqin Wang, Wei Luo, Mengxi Zhang, Xiao Huang, Yingwei Yan, Regina Liu, Kelly Ly, Viraj Kacker, Bing She, Zhenlong Li

Faculty Publications

Background: The COVID-19 pandemic has imposed a large, initially uncontrollable, public health crisis both in the United States and across the world, with experts looking to vaccines as the ultimate mechanism of defense. The development and deployment of COVID-19 vaccines have been rapidly advancing via global efforts. Hence, it is crucial for governments, public health officials, and policy makers to understand public attitudes and opinions towards vaccines, such that effective interventions and educational campaigns can be designed to promote vaccine acceptance.

Objective:The aim of this study was to investigate public opinion and perception on COVID-19 vaccines in the United …

Satellite Observations And Spatiotemporal Assessment Of Salt Marsh /Dieback Along Coastal South Carolina (1990-2019), Huixuan Li

Theses and Dissertations

Coastal wetland mapping is often difficult because of the heterogeneous vegetation compositions and associated tidal effects. Past studies in the Gulf/Atlantic coast states have reported acute marsh dieback events in which marsh rapidly browned and thinned, leaving stubble of dead stems or mudflad with damaged ecosystem services. Reported marsh dieback in South Carolina (SC), USA, however, have been limited. Previous studies have suggested a suite of possibly abiotic and biotic attributes responsible for salt marsh dieback. However, there are no consensus answers in current literature explaining what led to marsh dieback in past decades, especially from the spatiotemporal perspective. In …

Using Mobile Device Data To Track The Effects Of The Covid-19 Pandemic On Spatiotemporal Patterns Of National Park Visitation, John A. Kupfer, Zhenlong Li, Huan Ning, Xiao Huang

Faculty Publications

Effective quantification of visitation is important for understanding many impacts of the COVID-19 pandemic on national parks and other protected areas. In this study, we mapped and analyzed the spatiotemporal patterns of visitation for six national parks in the western U.S., taking advantage of large mobility records sampled from mobile devices and released by SafeGraph as part of their Social Distancing Metric dataset. Based on comparisons with visitation statistics released by the U.S. National Park Service, our results confirmed that mobility records from digital devices can effectively capture park visitation patterns but with much finer spatiotemporal granularity. In general, triggers …

Odt Flow: Extracting, Analyzing, And Sharing Multi-Source Multi-Scale Human Mobility, Zhenlong Li, Xiao Huang, Tao Hu, Huan Ning, Xinyue Ye, Binghu Huang, Xiaoming Li

Faculty Publications

In response to the soaring needs of human mobility data, especially during disaster events such as the COVID-19 pandemic, and the associated big data challenges, we develop a scalable online platform for extracting, analyzing, and sharing multi-source multi-scale human mobility flows. Within the platform, an origin-destination-time (ODT) data model is proposed to work with scalable query engines to handle heterogenous mobility data in large volumes with extensive spatial coverage, which allows for efficient extraction, query, and aggregation of billion-level origin-destination (OD) flows in parallel at the server-side. An interactive spatial web portal, ODT Flow Explorer, is developed to allow users …

Spatial Disparities Of Covid-19 Cases And Fatalities In United States Counties, Sarah L. Jackson, Sahar Derakhshan, Leah Blackwood, Logan Lee, Qian Huang, Margot Habets, Susan L. Cutter

Faculty Publications

This paper examines the spatial and temporal trends in county-level COVID-19 cases and fatalities in the United States during the first year of the pandemic (January 2020–January 2021). Statistical and geospatial analyses highlight greater impacts in the Great Plains, Southwestern and Southern regions based on cases and fatalities per 100,000 population. Significant case and fatality spatial clusters were most prevalent between November 2020 and January 2021. Distinct urban–rural differences in COVID-19 experiences uncovered higher rural cases and fatalities per 100,000 population and fewer government mitigation actions enacted in rural counties. High levels of social vulnerability and the absence of mitigation …

Using Mobile Device Data To Track The Effects Of The Covid-19 Pandemic On Spatiotemporal Patterns Of National Park Visitation, John A. Kupfer, Zhenlong Li, Huan Ning, Xiao Huang

Faculty Publications

Effective quantification of visitation is important for understanding many impacts of the COVID-19 pandemic on national parks and other protected areas. In this study, we mapped and analyzed the spatiotemporal patterns of visitation for six national parks in the western U.S., taking advantage of large mobility records sampled from mobile devices and released by SafeGraph as part of their Social Distancing Metric dataset. Based on comparisons with visitation statistics released by the U.S. National Park Service, our results confirmed that mobility records from digital devices can effectively capture park visitation patterns but with much finer spatiotemporal granularity. In general, triggers …

Measuring Global Multi-Scale Place Connectivity Using Geotagged Social Media Data, Zhenlong Li, Xiao Huang, Xinyue Ye, Yuqin Jiang, Yago Martin, Huan Ning, Michael E. Hodgson, Xiaoming Li

Faculty Publications

Shaped by human movement, place connectivity is quantified by the strength of spatial interactions among locations. For decades, spatial scientists have researched place connectivity, applications, and metrics. The growing popularity of social media provides a new data stream where spatial social interaction measures are largely devoid of privacy issues, easily assessable, and harmonized. In this study, we introduced a global multi-scale place connectivity index (PCI) based on spatial interactions among places revealed by geotagged tweets as a spatiotemporal-continuous and easy-to-implement measurement. The multi-scale PCI, demonstrated at the US county level, exhibits a strong positive association with SafeGraph population movement records …

Taking The Pulse Of Undergraduate Introductory Geographic Information Systems Courses, Christopher Krause

Theses and Dissertations

As colleges and universities expand their geographic information systems (GIS) course offerings, the pedagogies involved in teaching such courses ought to be critically evaluated. Existing research concerning the teaching of geospatial technologies has been characterized as “sparse, inconsistent, and overly anecdotal” (Baker et al., 2015, p. 118). Answering the call for “more systematic and replicable” (p. 118) GIS education research, this study adopted a suite of mixed methods used within other discipline-based education research (DBER) and deployed them in introductory GIS courses. These methods included classroom observation protocols, interview protocols, focus group protocols, and student questionnaires.

This research had three …

Suas For 3d Tree Surveying: Comparative Experiments On A Closed-Canopy Earthen Dam, Cuizhen Wang, Grayson R. Morgan, Michael E. Hodgson

Faculty Publications

Defined as “personal remote sensing”, small unmanned aircraft systems (sUAS) have been increasingly utilized for landscape mapping. This study tests a sUAS procedure of 3D tree surveying of a closed-canopy woodland on an earthen dam. Three DJI drones—Mavic Pro, Phantom 4 Pro, and M100/RedEdge-M assembly—were used to collect imagery in six missions in 2019–2020. A canopy height model was built from the sUAS-extracted point cloud and LiDAR bare earth surface. Treetops were delineated in a variable-sized local maxima filter, and tree crowns were outlined via inverted watershed segmentation. The outputs include a tree inventory that contains 238 to 284 trees …

Spatiotemporal Patterns Of Human Mobility And Its Association With Land Use Types During Covid-19 In New York City, Yuqin Jiang, Xiao Huang, Zhenlong Li

Faculty Publications

The novel coronavirus disease (COVID-19) pandemic has impacted every facet of society. One of the non-pharmacological measures to contain the COVID-19 infection is social distancing. Federal, state, and local governments have placed multiple executive orders for human mobility reduction to slow down the spread of COVID-19. This paper uses geotagged tweets data to reveal the spatiotemporal human mobility patterns during this COVID-19 pandemic in New York City. With New York City open data, human mobility pattern changes were detected by different categories of land use, including residential, parks, transportation facilities, and workplaces. This study further compares human mobility patterns by …

Using Aeolian Depositional Lag Times To Relate Dune Vegetation And Topographic Change, Jacquelyn Brianna Ferguson

Theses and Dissertations

Sediment deposition impacts dune morphology and is a product of many environmental factors. Dune vegetation is related to post-storm dune recovery and morphology. Though it is widely agreed that vegetation impacts sediment deposition, this relationship has not yet been quantified in the field. This research was conducted at Isle of Palms, a meso-tidal barrier island in South Carolina, where we collected topographic and vegetation data over an incipient foredune. Vegetation data were classified by functional type (dune-builder or dune-stabilizer) or land cover (sand, wrack). We identified land cover changes resulting in greater surface roughness. To relate land cover change to …