Digital Commons Network^™

Spatiotemporal Analysis Of Covid-19 Lockdown Impact On The Land Surface Temperatures Of Different Land Cover Types In Louisiana, Priscilla Loh, Yaw Twumasi, Zhu H. Ning, Matilda Anokye, Diana B. Frimpong, Judith Oppong, Abena B. Asare-Ansah, Rechael Naa Dedei Armah, Caroline Y. Apraku

Student Presentations

The COVID-19 pandemic posed a serious threat to life on the entire planet, necessitating the imposition of a lockdown mechanism that restricted people’s movements to stop the disease’s spread. This period experienced a decline in air pollution emissions and some environmental changes, offering a rare opportunity to understand the effects of fewer human activities on the earth’s temperature. Hence, this study compares the changes in Land Surface Temperature (LST) that were observed prior to the pandemic (March & April 2019) and during the pandemic lockdown (March & April 2020) of three parishes in Louisiana. The data for this study was …

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 …

Detection And Identification Of Covert Devices Using Infrared And Stacked Optics Detection, Michael A. Reyneke

Theses and Dissertations

This work investigates stacked optics detection methodologies to successfully detect and identify observational systems with a cyber-physical sensing tool, ODIN (Observational Device Identification Network). ODIN successfully detected the presence of stacked optics and LiDAR systems using night-vision devices with a 96.32% average accuracy rating, both overt and covertly placed, with objective lens diameters ranging from 17 mm to 50 mm at distances between 1 m to 5 m with and without commonly employed anti-reflective countermeasures. ODIN provides a foundation for counter- measure capabilities of NIR devices and stacked optical systems in stationary environments. Additionally, a pilot study on smartphone LiDAR …

Exploring Inequality At Copan, Honduras: A 2d And 3d Geospatial Comparison Of Household Wealth, Heather Richards-Rissetto

Department of Anthropology: Faculty Publications

The archaeological site of Copan was a cultural and commercial crossroads at the southeastern Maya frontier. Research indicates that the demographics and sociopolitical circumstances of the city of Copan and its location within a circumscribed pocket (24 km²) of the larger Copan Valley varied through time. These circumstances not only influenced its social, political, and economic interactions, but likely the size, construction, and organization of households, specifically plazuelas. Copan’s plazuelas differ from those located in other Maya regions because they often have smaller house platforms, comprise more than a single patio, and exhibit a larger than normal …

Mela: Vessels Of Ephemeral Architecture, Neha Tummalapalli

Renée Crown University Honors Thesis Projects - All

No abstract provided.

Generational Leadership In The American Revolution And Early Republic, 1763-1800, Kevin Cassidy

All Master's Theses

This thesis examines the Loyal Twenty-Seven, a group of Massachusetts revolutionaries, and their importance in the American Revolution using a combination of qualitative and quantitative methods combined with traditional historical research, to attempt to show that there was a generational shift in leadership between the revolutionaries who led early British protests, and those who led the Revolutionary War and the Early Republic. This thesis is based off an original work, the United States Colonial Dataset, made up of 416 individuals divided into three groups, the Framers, Prominents, and Loyalists, and 215 unique attributes for these individuals, such as their occupation, …

Food Security & Urban Agriculture - Considerations For Soil Improvements And Crop Planning, Aaron Sedivy

Doctor of Plant Health Program: Dissertations and Student Research

Urban agriculture provides many benefits, such as energy conservation, rainwater remediation, increased aesthetic and property value, and therapeutic use for physical, cognitive, and emotional wellbeing. Urban agriculture can also provide critical integrity to each pillar of food security: availability, access, utilization, and stability. As urban agricultural activities increase, social interactions will follow in concert. This will provide opportunities for building trust through the two-way communication of contrasting perspectives, cultures, and beliefs using impartial narratives. Growers can use knowledge and understanding gained from these positive social interactions to formulate their personal paradigms for practice and better meet the needs of each …

Machine Learning For Modeling Wildfire Susceptibility At The State Level: An Example From Arkansas, Usa, Abdullah Al Saim, Mohamed H. Aly

Geosciences Faculty Publications and Presentations

Fire susceptibility modeling is crucial for sustaining and managing forests among many other valuable land resources. With 56% of its area covered by forests, Arkansas is known as the "natural state". About 1000 wildfires occurred and burned more than 10,000 acres each year during 1981-2018. In this paper, we use remote-sensing-based machine learning methods to address the natural and anthropogenic factors influencing wildfires and model fire susceptibility in Arkansas. Among the 15 explored variables, potential evapotranspiration, soil moisture, Palmer drought severity index, and dry season precipitation were recognized as the most significant factors contributing to the fire density. The obtained …

Transforming Social Determinants To Educational Outcomes: Geospatial Considerations, Gary Szirony, S Banerjee, Mccune, Davis

Walden Faculty and Staff Publications

No abstract provided.

The Analytical Tools For Tourism Development Through Social Media Data And Spatial Morphological Analysis, Pachara Suvannadabha, Chawee Busayarat, Thepchai Supnithi

NAKHARA (Journal of Environmental Design and Planning)

In the tourism sector, social media data help elucidate the travel behavior and activities of travelers through images and reviews. However, geospatial studies with spatial analysis tools such as GIS are still required by researchers who hope to gain beneficial insight into tourism development from such social media data. In addition to spatial studies, Space syntax analysis is used to explain the spatial characteristics and accessibility of both pedestrians and vehicles; however, the method doesn't consider how people use the space. Therefore, using social media with space syntax analysis will help enhance the understanding of both tourism and spatial aspects. …

‘Big’ And ‘Little’ Quo Vadis? In The United States, 1913–1916: Using Gis To Map Rival Modes Of Feature Cinema During The Transitional Era, Jeffrey Klenotic

Faculty Publications

This article emanates from a geospatial database of over 600 premieres of the Cines company’s Quo Vadis? (1913), an eight-reel film distributed by George Kleine, and nearly 250 premieres of the Quo Vadis Film Company’s Quo Vadis? (1913), a three-reel film of ambiguous origins distributed by Paul De Outo. By mapping local premieres of both films across the United States from 1913 through 1916, the data show with spatiotemporal precision the spread of Quo Vadis? as one of cinema’s early blockbuster titles. Yet within this national phenomenon, the two films’ footprints reveal differing cultural geographies served by competing efforts to …

Regional Variations In The Incidence Of Brain Glioma In Adults In Alabama, Mina Lobbous

All ETDs from UAB

Purpose: Gliomas are the most common primary brain tumor in adults in the US with an annual age-adjusted incidence rate of 4.67 to 5.73 per 100,000 persons. Exposure to ioniz-ing radiation is the only established risk factor for non-hereditary glioma risk. There are several sources of carcinogenic contaminants in northeast Alabama and western Georgia with the Coosa River serving as the region’s primary water source. In this study, we aimed to examine the incidence rate of glioma in northeast Alabama compared to the rest of the state as well as the association of possible environmental exposure on disease risk and …

Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole Hair, Nicholas Yell, Zhenlong Li, Shan Qiao Ph.D., Xiaoming Li Ph.D.

Faculty Publications

Disparities and their geospatial patterns exist in morbidity and mortality of COVID-19 patients. When it comes to the infection rate, there is a dearth of research with respect to the disparity structure, its geospatial characteristics, and the pre-infection determinants of risk (PIDRs). This work aimed to assess the temporal-geospatial associations between PIDRs and COVID-19 infection at the county level in South Carolina. We used the spatial error model (SEM), spatial lag model (SLM), and conditional autoregressive model (CAR) as global models and the geographically weighted regression model (GWR) as a local model. The data were retrieved from multiple sources including …

Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole L. Hair, Nicholas Yell, Zhenlong Li, Shan Qiao, Chen Liang, Xiaoming Li

Faculty Publications

Disparities and their geospatial patterns exist in morbidity and mortality of COVID-19 patients. When it comes to the infection rate, there is a dearth of research with respect to the disparity structure, its geospatial characteristics, and the pre-infection determinants of risk (PIDRs). This work aimed to assess the temporal–geospatial associations between PIDRs and COVID-19 infection at the county level in South Carolina. We used the spatial error model (SEM), spatial lag model (SLM), and conditional autoregressive model (CAR) as global models and the geographically weighted regression model (GWR) as a local model. The data were retrieved from multiple sources including …

Marine Artificial Light At Night: An Empirical And Technical Guide, Thomas W. Davies, Svenja Tidau, Andrew J. Grimmer

School of Biological and Marine Sciences

No abstract provided.

Machine Learning & Big Data Analyses For Wildfire & Air Pollution Incorporating Gis & Google Earth Engine, Abdullah Al Saim

Graduate Theses and Dissertations

The climatic condition, the vegetation type, and the landscape of the United States have made it susceptible to wildfires. This research is divided into two parts based on the analysis of two different aspects of wildfires of two distinct regions. The first part of the study investigates the wildfire susceptibility in Arkansas. Arkansas is a natural state, and it is heavily dependent on its forest and agricultural resources. During the last 30 years, more than 1,000 wildfires occurred in Arkansas and caused more than 10,000 acres of burned areas. Therefore, identifying wildfire-susceptible areas is crucial for ensuring sustainable forest and …

Trends And Opportunities In Tick-Borne Disease Geography, Catherine A. Lippi, Sadie J. Ryan, Alexis L. White, Holly D. Gaff, Colin J. Carlson

Biological Sciences Faculty Publications

Tick-borne diseases are a growing problem in many parts of the world, and their surveillance and control touch on challenging issues in medical entomology, agricultural health, veterinary medicine, and biosecurity. Spatial approaches can be used to synthesize the data generated by integrative One Health surveillance systems, and help stakeholders, managers, and medical geographers understand the current and future distribution of risk. Here, we performed a systematic review of over 8,000 studies and identified a total of 303 scientific publications that map tick-borne diseases using data on vectors, pathogens, and hosts (including wildlife, livestock, and human cases). We find that the …

Geocoding Cryptosporidiosis Cases In Ireland (2008–2017)—Development Of A Reliable, Reproducible, Multiphase Geocoding Methodology, Lisa Domegan, Patricia Garvey, Paul Mckeown, Howard Johnson, Paul Hynds, Jean O'Dwyer, Coilín Óhaiseadha

Articles

Background: Geocoding (the process of converting a text address into spatial data) quality may affect geospatial epidemiological study findings. No national standards for best geocoding practice exist in Ireland. Irish postcodes (Eircodes) are not routinely recorded for infectious disease notifications and > 35% of dwellings have non-unique addresses. This may result in incomplete geocoding and introduce systematic errors into studies.

Aims: This study aimed to develop a reliable and reproducible methodology to geocode cryptosporidiosis notifications to fine-resolution spatial units (Census 2016 Small Areas), to enhance data validity and completeness, thus improving geospatial epidemiological studies.

Methods: A protocol was devised to utilise …

Introduction To Big Data Computing For Geospatial Applications, Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook, Qingfeng Guan

Faculty Publications

The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this …

Easily Overlooked: Modelling Coastal Dune Habitat Occupancy Of Threatened And Endangered Beach Mice (Peromyscus Polionotus Spp.) Using High-Resolution Aerial Imagery And Elevation Models Of The Northern Gulf Of Mexico, Wesley Burger

Theses and Dissertations

The Gulf of Mexico dune system is a broad and dynamic environment that varies greatly in geomorphology and vegetative composition across the Gulf coastline. Beach mice (Peromyscus polionotus spp.) are an endangered species that rely on coastal habitat structure. I hypothesized that beach mouse occupancy would be dependent upon coastal dune land cover and landform features. I identified coastal landforms using high-resolution elevation data and landform models in GRASS GIS and identified coastal dune vegetation classes using high-resolution aerial imagery and object oriented vegetation classification. These features were used to create a dynamic occupancy model to determine occupancy patterns in …

Characterization Of Severe Asthma Worldwide: Data From The International Severe Asthma Registry, E Wang, Me Wechsler, Tn Tran, Lg Heaney, Rc Jones, An Menzies-Gow, J Busby, Dj Jackson, Pe Pfeffer, Ck Rhee, Ys Cho, Gw Canonica, E Heffler, Pg Gibson, M Hew, M Peters, Es Harvey, M Alacqua, J Zangrilli, L Bulathsinhala, Va Carter, I Chaudhry, N Eleangovan, N Hosseini, Rb Murray, Db Price

Peninsula Medical School

BackgroundClinical characteristics of the international population with severe asthma are unknown. Intercountry comparisons are hindered by variable data collection within regional and national severe asthma registries. We aimed to describe demographic and clinical characteristics of patients treated in severe asthma services in the United States, Europe, and the Asia-Pacific region.MethodsThe International Severe Asthma Registry retrospectively and prospectively collected data in patients with severe asthma (≥ 18 years old), receiving Global Initiative for Asthma (GINA) Step 5 treatment or with severe asthma remaining uncontrolled at GINA Step 4. Baseline demographic and clinical data were collected from the United States, United Kingdom, …

Active Learning In Accounting And The Impact On Student Engagement, Daniel King

Conference papers

This paper reports on a range of active learning and online strategies that were introduced into an introductory accounting module. Up until recently the traditional lecture format, where students sit passively and the lecturer delivers the lecture, has been the dominant format in higher education. However, research has shown that formats which provide students with a more active and engaged learning environment result in deeper learning The active learning strategies discussed in this paper were based around an "Active Learning Exercise" where students worked in a cooperative group environment. Before, during and after the "Active Learning Exercise" an additional range …

Human Dimensions Research For Informed Decisions About Aquatic Restoration In New Hampshire: Environmental Justice In Implementation Of Compensatory Mitigation, Simone Tania Chapman

Master's Theses and Capstones

New Hampshire’s aquatic resources provide many important ecosystem services and values, such as recreation, wildlife habitat, flood storage, nutrient reduction, community identity and aesthetic enjoyment. However, the many competing interests that seek to benefit from New Hampshire’s aquatic resources present challenges for efforts to steward public aquatic resources in the public interest. This thesis presents findings about the environmental justice outcomes of New Hampshire’s compensatory mitigation program, the Aquatic Resource Mitigation (ARM) fund, to inform aquatic restoration policy.

Previous studies have found evidence that aquatic restoration programs can lead to systemic resource relocation and patterns of inequality in outcomes. Using …

The Dynamics Of Real-Time Online Information And Disease Progression: Understanding Spatial Heterogeneity In The Relationship, Blake Tindol, Utkarsh Shrivastava, Kuanchin Chen

Transactions of the International Conference on Health Information Technology Advancement

The re-emergence of infectious diseases such as measles and polio is creating logistics challenges for the state authorities to curb their spread and contain them. (CL, 2015) Real-time surveillance of infectious diseases is important to detect possible epidemics in advance to prevent shortages of medications (FDA, 2018). The outbreak of an infectious disease creates panic in the community and is accompanied by a sudden increase in the online interest in knowing more about the disease and its symptoms. Prior studies have found a strong relationship between web-based information and disease outbreak but the influence of dynamics of web-based information in …

Sea Surface Roughness Observed By High Resolution Radar, Atsushi G. Fujimura, Susanne Lehner, Alexander Soloviev, Xiaofeng Li

Marine & Environmental Sciences Faculty Articles

Changes in the sea surface roughness are usually associated with a change in the sea surface wind field. This interaction has been exploited to measure the sea surface wind speed by scatterometry. A number of features on the sea surface associated with changes in roughness can be observed by synthetic aperture radar (SAR) because of the change in Bragg backscatter of the radar signal by damping of the resonant ocean capillary waves. With various radar frequencies, resolutions, and modes of polarization, sea surface features have been analyzed in numerous campaigns, bringing various datasets together, thus allowing for new insights in …

Environmental Foundations Of Typhoid Fever In The Fijian Residential Setting, Aaron P. Jenkins, Stacy D. Jupiter, Adam Jenney, Alanieta Naucukidi, Namrata Prasad, Gandercillar Vosaki, Kim Mulholland, Richard Strugnell, Mike Kama, John A. Crump, Pierre Horwitz

Research outputs 2014 to 2021

Proximal characteristics and conditions in the residential setting deserve greater attention for their potential to influence typhoid transmission. Using a case-control design in Central Division, Republic of Fiji, we examined bacterial (coliform and Escherichia coli) contamination and chemical composition of water and soil as potential vehicles of exposure to Salmonella Typhi, combining observational analysis of residential living conditions, geospatial analysis of household locations, and factor analysis to explore multivariate associations with the risk of developing typhoid fever. Factors positively associated with typhoid infection related to drainage [phosphate (OR 4.235, p = 0.042) and E. coli concentrations (OR 2.248, p = …

Mapping Maya Hinterlands: Lidar Derived Visualization To Identify Small Scale Features In Northwestern Belize, Jeremy Mcfarland, Marisol Cortes-Rincon Ph.D.

Humboldt Journal of Social Relations

This paper will discuss the processes and methods of relief visualization of LiDAR-derived digital elevation models (DEM’s) and classification of secondary data to identify archaeological remains on the ancient Maya landscape in northwestern Belize. The basis of the research explores various Geographic Information System (GIS) and cartographic techniques to visualize topographical relief. Graphic terrain maps assist archaeologists with predictive settlement patterns. The Relief Visualization Toolbox (RVT 1.3) aids to visualize raster DEM datasets in the predictive identification and interpretation of small-scale archaeological features. This dataset and methodology can be utilized to answer questions of population estimates, mobility costs, and effectiveness …

Newsworthy Migrants: Sentiment And Text Analysis Of Dutch Newspapers, Nicholas J. Schmitz

Independent Study Project (ISP) Collection

Understanding how a migrant population is viewed and displayed by the host country has been a struggle for a long period of time for anyone studying migration. Traditional methods of collecting information were tedious, time intensive and expensive. However, Big data has been providing unique solutions to gaps in information in many different fields across the world. Media plays an important part in developing and assessing the public opinion on a topic. With the availability of a large number of online articles from historical time periods, it is possible to use quantitative analysis, such as text analytics, to can see …

A Geographic Study Of Lung And Bronchus Cancer Rates In Kentucky, Gabriel Njoh Dikong

Walden Dissertations and Doctoral Studies

The average age-adjusted incidence and mortality rates of lung and bronchus cancer is 55% and 56% higher in Kentucky than the national averages in the United States, respectively. Populations with low income and educational attainment, and those who live close to the mining regions across Kentucky are more affected by the high prevalence and resulting mortality rates of lung and bronchus cancer. This study was conducted because of the high incidence of lung and bronchus cancer and resulting mortality rates in the state of Kentucky that may not be caused solely by social and demographic factors. The theoretical foundation for …

Predicting Spawning Habitat For Coho Salmon (Oncorhynchus Kisutch), Chinook Salmon (Oncorhynchus Tshawytscha), And Steelhead (Oncorhynchus Mykiss) Using Geospatially Constructed Stream Morphology From High-Resolution Lidar-Derived Digital Elevation Model And Field Survey Data In The Indian Creek Watershed, Mendocino County, California, Justin Patrick Bissell Mr.

Cal Poly Humboldt theses and projects

Restoration of anadromous salmonid habitat is of primary importance to the economic, historical, and cultural geography of the Pacific Northwest. Derivation and use of geospatial habitat models as guides to pinpoint key areas where limited restoration funding can be cost-effectively employed is of great importance. To this purpose, 1 meter resolution lidar-derived Digital Elevation Model data was acquired for the Indian Creek and neighboring watersheds in Mendocino County, California, and used together with field-acquired geomorphic stream data to geospatially model stream widths, depths, and streambank morphology. These geospatial covariates were field-verified in selected locations and then used in conjunction with …