UMD Theses and Dissertations

Permanent URI for this collectionhttp://hdl.handle.net/1903/3

New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a given thesis/dissertation in DRUM.

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USING GEOSPATIAL INFORMATION SYSTEMS TO PREDICT THE FORM OF “ROADBEDS AND ROAD SEGMENTS” CLASSIFICATIONS FOR THE CHEROKEE TRAIL OF TEARS IN MISSOURI, 1837-1839
(2024) Lester, Ansley; Palus, Matthew M; Anthropology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
This thesis aims to answer the questions, “How can we efficiently use the processes of categorization and Geospatial Information System (GIS) methods and analyses to help identify the ‘form’ that various segments on the Trail of Tears, specifically the listed National Historic Trail (NHT) of the “Cherokee Trail of Tears in Missouri, 1837-1839”? Can a predictive model be developed by looking at the spatial relationships between modern roads and the suspected paths taken by the Cherokee in 1837- 1839? If so, what other information can be gained from this approach?”The classifications are derived from the National Register of Historic Properties (NRHP) Multiple Property Documentation Form (MPDF) and discuss the classifications and criteria that segments of the Trail of Tears must meet to be considered contributing characteristics. The NRHP documentation form defines these different classes of the Trail of Tears into ‘three basic forms:1) Modern Roads, 2) Limited-Use, Passable Roads, and 3) Abandoned Roads. This thesis is limited to the segments of the Trail of Tears that fall within the Mark Twain National Forest (MTNF) boundaries. Though much of the Trail has been modified into modern roads, traces are still evident in many locations along these modern routes that hold integrity from the significant period of the late 1830s. Because the Trail of Tears passes through multiple states and traverses over 6,000 miles, managing the protection of its physical traces can be a logistical challenge for cultural resource managers. For this thesis, I developed a carefully constructed GIS model that is able to predict these classifications of various Trail of Tears segments using a sequence of geoprocessing methods, logical operators, and Boolean algebraic expressions. Using GIS, I determine the spatial relationship between the National Park Service’s Trail of Tears linear data and the extant roads that have been documented to date. I then use statistical analysis to assess the model itself and its findings. The results identified seventeen segments of the Trail that are likely to hold integrity in the roadbed and road segment form three: abandoned. This is important because this form is the most sensitive to any undertakings and includes the segments that hold the greatest amount of integrity. The results also confirmed that the Trail of Tears does have a spatial relationship with many modern and limited-use roads that are still used today. Basic statistical analysis confirmed that the sample segments used to develop the draft model are representative of the model’s outcomes when applied to a forest-wide scale and that a total of 68.94 miles of the Trail crosses through the Mark Twain National Forest. This thesis also emphasizes collaboration and consultation methods with the Cherokee Nation throughout the chapters as the way forward before this model is considered finished. The intent of this thesis is to provide a management tool for cultural resource managers to predict which segments of the Trail of Tears fall into the three classifications by using a specific set of geoprocessing methods. This tool can be helpful in identifying areas of the Trail that may hold more physical integrity than others and implementing specific protection measures from any undertakings. It also adds to our understanding of the Trail of Tears within the MTNF. This model can also contribute to our understanding of the Trail of Tears and the hardships the Cherokee faced during that time. It will also provide research and public education opportunities so we can adequately convey the significance that the Trail of Tears has in our history. This model is built to be flexible for adding additional parameters that may be added through future research or consultation. The methodology used to produce this model would stay the same if used in other areas where the Trail crosses. The input parameters are likely to differ, but the methodology would stand.
MINDING YOUR FEET: AN EXAMINATION OF CEMETERY RECORDATION AND ANALYSIS THROUGH GEOSPATIAL DOCUMENTATION IN FAIRFAX COUNTY, VIRGINIA
(2024) Boyle, Colleen; Palus, Matthew; Anthropology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
Cemeteries are a wealth of information and are a vital cultural resource for the communities in which they reside. These spaces reflect the cultural and community practices, the evolution of public space, economic conditions, and religious traditions of those interred. This thesis seeks to answer the research question: can cemetery landscapes be understood using a phenomenological approach to interpreting cultural patterns and trends in a digital landscape? Understanding cemetery landscapes is vital to the understanding and preservation of the cultural landscapes of these communities, so clear and accurate documentation of these sites is possible and necessary when using modern geospatial technology. This thesis examines the results of the Fairfax County Park Authority’s Archaeology and Collections Branch cemetery survey using geospatial mapping methodologies to record cemetery boundaries and inventory grave and grave marker locations. Through the examination of each of the three cemeteries highlighted throughout this thesis, it was determined that a hybrid approach to cemetery analysis utilizing the theoretical framework of phenomenology in conjunction with the broader perspective offered through digital data and mapping allows for a greater understanding of a space and its use over time.
Machine Learning Approaches to Archaeological Predictive Modeling in the Age of Wildfire, Lake Tahoe Basin Management Unit, California and Nevada
(2023) van Rensselaer, Maximilian; Palus, Matthew; Art History and Archaeology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
Machine learning is a powerful tool for archaeological prediction mapping. This thesis compares machine learning approaches to Middle and Late Archaic archaeological prediction in the Lake Tahoe Basin Management Unit, California and Nevada. Specifically, the analysis seeks to answer whether logistic regression, Random Forest, or Maximum Entropy models perform better at archaeological prediction. The explanatory variables used to predict site presence include elevation, slope, aspect, distance to streams, land cover, soil, and geology. Of all three models, Maximum Entropy produced the most accurate predictive models based on combined diagnostic metrics. Predictive modeling is a valuable tool in preventative archaeology, where identifying and mitigating adverse effects to archaeological sites in a time-efficient manner is critical. Environmental challenges such as uncontrolled wildfires provide an impetus for indigenous communities, management agencies, and researchers to employ predictive modeling approaches in preventative cultural and heritage resource management applications.
THE SPATIAL ANALYSIS OF OPIOID-RELATED HEALTH OUTCOMES AND EXPOSURES IN THE UNITED STATES OPIOID OVERDOSE CRISIS
(2022) Sauer, Jeffery Charles; Stewart, Kathleen; Geography; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
The United States continues to endure the Opioid Overdose Crisis. Yet the burden of the crisis is not experienced uniformly across the United States. The discipline of geography offers a framework and spatial analysis methodology that are direct ways to investigate placed-based differences in opioid-related outcomes, exposures, and proxy measures. This dissertation combines the contemporary frameworks of health geography and geographic information science to provide novel studies on both the geographic patterns in opioid-related health measures at different scales across the United States as well as the actual spatial analytic methods that provide evidence on the Opioid Overdose Crisis. Three main research objectives are addressed over the course of the dissertation: 1) Model the space-time risk of heroin-, methadone-, and cocaine-involved emergency department visits in the greater Baltimore metropolitan area from January 2016 to December 2019 at the Zip Code Tabulation Area-level; 2) Estimate the local and neighboring relationship between prescription opioid volume and treatment admissions involving a prescription opioid across the United States from 2006 to 2014 at the county-level; and 3) Investigate and provide a framework as to how geographic information science has been used to provide knowledge over the duration of the crisis from 1999 to 2021. The first study demonstrates how a recently proposed spatio-temporal Bayesian model can produce disease risk surfaces for opioid-related health outcomes in data constrained scenarios. The second study executes spatial lag of X models on a nationwide prescription opioid distribution dataset, allowing for estimates on the relationship between neighboring prescription opioid volume and nonfatal treatment admissions involving a prescription opioid at the county-level. The third and final study of the dissertation developed and implemented a scoping review methodology, ultimately analyzing the study design and geographical elements of 231 peer-reviewed publications using geographic information science on research questions related to the crisis. Examination of the geographical components of these studies reveals a lack of evidence available at sub-state scales and in the Midwest, north Rocky Mountains, and non-continental United States. Several important future research directions - such as geographic meta-analyses and geographical machine learning - are identified. Taken as a whole, the dissertation provides a contemporary geographical framework to understand the ongoing United States Opioid Overdose Crisis.
THE CLOISTERED INFRASTRUCTURE OF THE OHIO & ERIE CANAL: AN ANALYSIS AND INVENTORY OF THE CANAL WITH A THEORETICAL LANDSCAPE ARCHAEOLOGY AND HISTORICAL GEOGRAPHIC INFORMATION SYSTEMS APPROACH
(2022) Waugh, Mason Richard; Palus, Matthew M; Anthropology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
The period of the 1820s and 1830s experienced a burst of canal construction across Ohio. The Ohio & Erie Canal connected the Cuyahoga River to Akron, and thence southward to Portsmouth along the Ohio River. The opening of the canal allowed early settlers within Ohio to easily transport products, effectively lowering the costs of goods and increasing the profitability of businesses utilizing the thoroughfare. Towns near the canal flourished as commodities previously difficult to obtain were now brought from long distances. These improvements that the Ohio & Erie Canal brought, as well as the context and significance of the canal, have been thoroughly documented in historical literature. A few intact portions of the Ohio & Erie Canal are currently included on the National Register of Historic Places (NRHP) and listed on the Ohio State Historic Preservation Office (SHPO) online Geographic Information System (GIS) mapping system. Several Cultural Resource Management (CRM) compliance surveys have also identified and documented canal remnants. However, most portions of the canal are not inventoried or listed on the SHPO online GIS mapping system. Few components of the canal are listed on the NRHP and within Scioto County there are only two locks represented on the NRHP. The general location of the Ohio & Erie Canal is well documented on historical maps; however, the placement of stream crossings and ancillary components (culverts, weirs, bridges) are poorly understood or perhaps cloistered, communicating little to the outside world as they are currently known. A series of plat maps was recorded in the early 1900s by the Canal Commission of the State of Ohio. Plat maps of the Ohio & Erie Canal in Scioto County were obtained for this project and were provided by the Ohio History Connection (2022). No large-scale effort to my knowledge has been made to georeference the plat maps of the Ohio & Erie Canal and analyze archaeological potential using Historical GIS (hGIS), which uses historical documents such as plat maps to answer questions about the past or to inventory canal features based on their location. To address the lack of recorded ancillary structures on the southern descent of the Ohio & Erie Canal, a total of 35 separate portions of the canal plat maps were georeferenced to the modern landscape to identify archaeological potential, ancillary structure locations, and to support recommendations for new contributing resources to the NRHP-listed historic districts. Seven separate categories of ancillary canal components or features which could be extrapolated from the canal plat maps were assigned GPS coordinates. The seven categories consisted of aqueducts, buildings, bridges, culverts, inlets, locks, and waste weirs. These components represent 70 individual features correlating to what was indicated on the canal plat maps through stations 1770-2660 in Scioto County. The inventory of these features breaks down the Ohio & Erie Canal component types and lists coordinates to increase accessibility of the information for future researchers and planners. A cross comparison of the portions of the canal currently listed on the NRHP and the SHPO online GIS mapping system is also completed and contained in this thesis. With the previously inventoried canal components and the newly georeferenced portions of the canal analyzed, this thesis assists further studies in assessing archaeological potential along the canal. Lastly, a recommendation is made suggesting which ancillary components along the canal could be contributing elements to the discontinuous or incomplete NRHP listing. This thesis attempts to provide interested researchers a better understanding of the ancillary components of the canal and how these components should be evaluated for NRHP eligibility. The Ohio & Erie Canal was not simply a historical waterway providing transportation of commodities, but also an early historical engineering feat containing a culmination of various structures whose design was to maintain water levels and one of the first mass engineering attempts in Ohio to manage the landscape and communities around the canal. Culverts along the canal are not only important, but they are also necessary for understanding how the Ohio & Erie Canal operated, how it adapted to certain topographical challenges, and were essential to the functioning of the canal. Removing culverts along the canal would not have allowed the canal to function due to the necessity of proper water levels. The public dissemination of the georeferenced data included in this thesis is intended to be a lasting benefit to gongoozlers, historians, researchers, and planners alike. As such this data will be made available by allowing the georeferenced maps and associated layers available through ArcGIS Pro. The map package in ArcGIS Pro is available upon request by contacting the author of this thesis.
UNDERSTANDING GEOSPATIAL DYNAMICS OF PARASITE MIGRATION AND HUMAN MOBILITY AS FACTORS CONTRIBUTING TO MALARIA TRANSMISSION IN THE GREATER MEKONG SUBREGION
(2021) Li, Yao; Stewart, Kathleen; Geography; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
Much effort has been made to control malaria over the past decades in South-East Asia Confirmed cases of Plasmodium falciparum (P.f.) and Plasmodium vivax (P.v.) malaria were reduced by 46%, and mortality by 60%. However, malaria remains a major problem in the Greater Mekong Subregion (GMS) with the emerging resistance to the artemisinins and their partner drugs. This raises concerns that the usefulness of first-line malaria treatments may be diminishing in the GMS, and that drug resistance could spread worldwide. Estimating malaria parasite migration patterns is crucial for malaria elimination as well as understanding the role that human mobility plays in malaria transmission. This dissertation will focus on the GMS, especially Cambodia and Myanmar which have been widely regarded as the epicenter of emerging resistance to artemisinin-based combination therapies. This dissertation is structured as three separate studies that look first at the movement of malaria parasites across a region, and then two studies that focus on human movement and how these movements can lead to increased exposure as well as transmission of malaria. In the first study, a semi-automatic workflow was developed to select the optimal number of demes that will maximize model accuracy and minimize computing time when computing estimated effective migration surfaces. A validation analysis showed that the optimized grids displayed both high model accuracy and reduced processing time compared to grid densities selected in an unguided manner. In the second study, an agent-based simulation model was built to estimate and simulate the daily movements of local populations in Singu and Ann Townships in Myanmar in order to identify how two townships in different parts of Myanmar compared with respect to mobility and P.v. and P.f. positivity. The third study examined mobility patterns of local village populations in Singu Township, Myanmar when they traveled longer distances outside of Singu, and discuss these patterns of regional travel in the context of daily mobility within the township.
WRITTEN IN STONE: A LANDSCAPE APPROACH TO EXAMINING OHIO PETROGLYPH SITES
(2021) Goodrich, Christopher; Lafrenz-Samuels, Kathryn; Anthropology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
A petroglyph study was completed using a novel combination of landscape theory and GIS spatial analysis in Ohio. Building on the knowledge base of James L. Swauger’s 1984 publication of Petroglyphs of Ohio, petroglyph site data was checked against the Ohio State Historic Preservation Office Archives. These data were then compared with regional and local geology, hydrology, and known cultural sites using a GIS database. Significant insights were discovered linking petroglyph site locations to Ohio’s unglaciated plateau, “open areas consisting of sandstone,” and to waterways. These insights have contributed to the development of a new baseline of petroglyph knowledge in Ohio, paving the way for future petroglyph research in the state.Keywords: petroglyph, GIS, spatial analysis, landscape archaeology, Ohio archaeology
“THE REAL DISTANCE WAS GREAT ENOUGH”: REMAPPING A MULTIVALENT PLANTATION LANDSCAPE USING HISTORICAL GEOGRAPHIC INFORMATION SYSTEMS (HGIS)
(2019) Skolnik, Benjamin Adam; Leone, Mark P.; Anthropology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
This dissertation uses the tools of historical Geographic Information Systems (hGIS) to locate and describe mid-nineteenth-century plantation landscapes in Talbot County, Maryland. The methodology described here combines historic maps, historic and modern aerial photography, LiDAR-derived elevation data, historic census data, and textual descriptions. It also uses them in conjunction with an ongoing archaeological research project at Wye House, the ancestral seat of the Lloyd family and site of enslavement of Frederick Douglass, near Easton, Maryland in order to further develop ways for archaeologists, historians, and other researchers to work with cartographic and spatial data in a digital framework. This methodology can be used across multiple scales to survey remotely individual sites or even entire counties for potential archaeological resources. Furthermore, it examines the autobiographies of Frederick Douglass, not only because he was a witness to these landscapes, but also because he can be read as a social theorist who addresses issues of race and racialized landscapes throughout his writings. Lastly, it uses these sources of data to consider Dell Upton’s spatial hypothesis regarding racialized plantation landscapes. Taken together, this study of mid-nineteenth-century Talbot County, Maryland represents one way to identify and recover lost sites of African American heritage that would otherwise remain lost.
A Spatial-Temporal Analysis of Wetland Loss and Section 404 Permitting on the Delmarva Peninsula from 1980 to to 2010
(2017) Stubbs, Quentin A.; Yeo, In-Young; Geography; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
Geospatial approaches for wetland change analyses have emphasized the evaluation of landscape change on a local level, but have often neglected to examine and integrate regional trends and patterns of land use and land cover change as well as the impacts of wetland management policies. This study attempts to bridge the gaps by integrating a geospatial assessment of land cover change and a geostatistical analysis of the physical and anthropogenic drivers of wetland change. The aim is to demonstrate how urban development, conservation, and climate change policy decisions influenced wetland change trends and patterns on the Delmarva Peninsula from 1980 to 2010. Historical data on the nine counties on the Delmarva Peninsula illustrated the dynamism of population growth, sprawl, and different wetland management strategies. Data sets from the National Oceanic and Atmospheric Administration, the Chesapeake Bay Program, the U.S. Army Corps of Engineers, the U.S. Fish and Wildlife Service, and the U.S. Census Bureau, and other sources were gathered and assessed. A land cover database was developed and analyzed using geospatial techniques, such as cross tabulation matrices and hot spot density analyses, in order to quantify and locate land cover change between 1984 and 2010. The results highlighted that anthropogenic drivers such as urbanization and agriculture were associated with the loss of wetlands in coastal areas as well as in upland, forested, suburban areas that were at low risk to flooding, but required deforestation in order to expand residential and commercial development. The greatest quantity and percentage of loss occurred between 1992 and 2001, and it was likely the result of increases in tourism and suburban sprawl (e.g., the Housing Boom and roadway expansion). The majority of wetland loss tapered off in 2000, except on coastal areas suffering from sea level rise and shoreline erosion. The results also reinforced the need to address the negative impacts from certain activities related to agriculture and silviculture, which are exempt from Section 404 of the Clean Water Act, have on wetlands. Physical drivers and processes like inundation from sea level rise and soil erosion from surface runoff force communities to simultaneously adapt to multiple drivers of wetland loss and alteration. This study supports the hypothesis that an increase in development and wetland permitting indicates an increased a risk of wetland loss. In the end, the study demonstrates that geostatistical modelling techniques can be used to predict wetland loss, and that model performance and accuracy can be improved by reducing the multicollinearity of independent variables. Planners and policymakers can use these models to better understand the wetland locations that are at greatest risk to loss, as well as the drivers and landscape conditions that have the greatest influence on the probability of wetland loss.
PROPOSING A REALISTIC INTERACTIVE VISUALIZATION MODEL AND TESTING ITS EFFECTIVENESS IN COMMUNICATING FLOOD RISK
(2014) Olsen, V. Beth K; Momen, Bahram; Marine-Estuarine-Environmental Sciences; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
This project advances the field of flood risk management by using technology to bridge the gap between science and local community decision-making. Currently, flood risk management meetings use a computer-assisted decision support system (DSS) to illustrate various flood scenarios and facilitate collaborative discussions among participants. The DSS is a set of sophisticated models structured by geographic information systems (GIS) technicians. This study proposed a "stakeholder-built" DSS. Stakeholders are defined here as those directly at risk of flooding. This method utilized improved user interface capabilities while retaining the technical rigor and robustness of a Nationally-recognized GIS software package. There are times when a simple model may serve as an introduction to GIS technology. There are also situations where the cost of the sophisticated models may place them out of reach. The stakeholder-built DSS was proposed as a compliment to the sophisticated models by providing greater access to a DSS for end-users. The stakeholder-built DSS, in which stakeholders construct their own models, uses realistic interactive visualization as a learning tool. Realistic visualization represents information using virtual reality. The intent is to trigger awareness of risk through emotional response to images. Stakeholders use interactive visualization when constructing the model. Awareness of the flood scenario is enhanced by the constant attention required of the model-builder as they make connections between hand-eye coordinated motions and the cognitive information they are modeling. Knowledge accumulates as multiple steps are completed. The effectiveness of the stakeholder-built DSS was tested during community flood risk management meetings in Federal Emergency Management Agency Region III, the mid-Atlantic area. A DSS based on a Nationally-recognized GIS software package was also tested to serve as a comparison. Data were collected in pre- and post-surveys and follow-up interviews. The stakeholder-built and national GIS software DSS both performed equally well in communicating knowledge of flood risk and risk-reduction options, resulting in significant learning outcomes. To maximize the intent by stakeholders to take actions to reduce risk, meetings using the stakeholder-built DSS in high-quality meeting facilities performed best. In addition, the stakeholder-built model was less expensive and found to be more user-friendly for stakeholders.

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