Geography Commons^™

The Dynamics Of Urbanization And Changes In Ekistics Elements: A Case Study Of Surakarta City, Sarah Astita

Cities and Urban Development Journal

Urbanization has become a driving force behind significant spatial, environmental, and socio-economic transformations in urban areas, including Surakarta, the most densely populated city in Central Java. The rapid increase in population and urban expansion has led to drastic changes in land use and the structure of human settlements. This study aims to analyze the impact of urbanization on the ekistic elements of Surakarta (nature, humans, society, space/shells, and networks) and how these changes manifest spatially over time. A descriptive qualitative approach is employed using literature analysis and the interpretation of Landsat satellite imagery from 2011 and 2022. The findings show …

Community Based Development Analysis - Case Study Of Cap (Community Action Plan) In Kramat Ward, Irene Sondang Fitrinitia

Cities and Urban Development Journal

Background: The Community Action Plan (CAP) has been implemented as a participatory approach to improving settlement quality through collaboration between the community and the government.

Aims: This study aims to explore the CAP process in community-based development planning in Kramat Ward and to understand the role of citizen participation and synergy with government policies in enhancing settlement quality

Methods: A descriptive qualitative approach with a case study method was used to analyze the process of community-based development planning.

Results: The findings indicate that the Community Action Plan (CAP) enables residents to identify and propose solutions to settlement-related issues. Community-driven actions …

Advancing Interactive Web Cartography Through Designing And Developing An Open-Source, Data-Driven Framework For Accessible Geovisualization Of Geospatial (Big) Data, Sarigai Sarigai

Geography ETDs

The growth of geospatial big data has intensified the demand for open-source, accessible tools for interactive spatial exploration. This dissertation introduces a modular web mapping framework and details its design, extension, and evaluation to advance geovisualization through user-centered, transferable design. The first study presents the original framework, named dciWebMapper, establishing foundational cartographic and information visualization principles, with a focus on modularity and extensibility. The second study extends dciWebMapper with advanced capabilities—such as diverse map types, bivariate visualizations, temporal filtering, spatial querying, and hotspot analysis—and demonstrates its broad transferability across domains. The third study offers a structured usability evaluation of …

An Analysis Of Vertical Deformation On Cianjur Earthquake 2022, Candra Perkasa Nurlukman, Adi Wibowo

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

A shallow crustal-type earthquake on a surface fault occurred on November 21, 2022, in Cianjur, West Java. This destructive earthquake resulted in a loss of life, many houses were damaged, and landslides at several points. So, the research was analyzed using the DInSAR method to see the deformation and its relationship with the existing conditions in the field. We get the result of a vertical subsidence in the earthquake area of up to 101 millimeters. Through the distribution of displacement results, we found no overlapping faults at that location, identifying the formation of a new fault. In the distribution area …

Analysis Of The Impact And Adaptation Of Tidal Floods From Coastal Landscape Area Communities In Poasia District, Kendari City, Indonesia, La Ode Hadini, La Aba, Noor Husna Khairisa, Nikita Jasmine Almira

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Poasia District is located in the coastal area of the southern part of Kendari City, which is highly susceptible to tidal flooding. However, the extent of the community's exposure to these events and their subsequent adaptation measures remain to be fully delineated. This study examines the impacts of tidal flooding and the adaptation patterns of the Poasia Coastal Community to the tidal flood disaster. This research employed a descriptive qualitative method, which was carried out through document review, interviews involving 34 respondents, and field observations. The results of this study indicate that tidal flooding exerts a negative impact on the …

Toxicological And Environmental Assessment Of Trace And Heavy Metals In Harnoi Coal Deposits, Abbottabad, Khyber Pakhtunkhwa, Pakistan, Muhammad Sajid, Shaukat Khan, Muhammad Kashif, Khan Amir Khan, Muhammad Junaid

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Mining and burning of coal release various toxic substances that can contaminate both surface and groundwater, thereby posing significant risks to human health, especially for households located near mines, coal deposits, or coal-fired power stations. This research examines the environmental effects of coal mining in the Harnoi Region of Abbottabad, Khyber Pakhtunkhwa, Pakistan. Four mining sites were randomly selected within the study area, and eight coal samples were collected and analyzed using atomic absorption spectrophotometry to determine the concentrations of trace and heavy metals. The findings indicate that Harnoi coal contains elevated concentrations of arsenic, zinc, lead, cadmium, nickel, cobalt, …

Citizen Science Helps Monitor Urban Biodiversity: An Interactive, Data-Driven, And Open-Source Perspective, Katie Slack

Geography ETDs

Story maps, a powerful tool for communicating environmental narratives, are often commercial and lack many interactive functions. We integrate a data-driven and interactive geovisualization within an open-source story map created from high-attribute citizen science datasets. This story map creates a backend programming infrastructure for accessible, open-source science communication tools. Our story map intuitively communicates the findings from our web map application (app) portion of the story map to the public and helps reveal findings from the iNaturalist datasets. Albuquerque, New Mexico, United States is a demonstrative case study, but our tools can be flexibly adapted to other cities. Geovisualizations revealed …

High Spatial Resolution Crop Type And Land Use Land Cover Classification Without Labels: A Framework Using Multi-Temporal Planetscope Images And Variational Bayesian Gaussian Mixture Model, Minh Tri Le

Mathematics, Physics, and Computer Science Faculty Articles and Research

Previous studies often combined high spatial resolution data (e.g., PlanetScope) with wider spectral range data (e.g., Sentinel-2) and relied on supervised classification methods to produce land use and land cover (LULC) maps. This study proposed a new unsupervised framework to generate crop type and LULC maps at high spatial resolution (< 5 m) using available PlanetScope data solely without requiring ground truths. We used PlanetScope surface reflectance images and their derived spectral indices during growing seasons to create multi-temporal input features, which were fed into an unsupervised Variational Bayesian Gaussian Mixture Model (VBGMM). The VBGMM, unlike the traditional unsupervised classification methods, (1) first estimated optimal parameters that are most suitable based on the input features and then (2) assigned pixels to the cluster with maximum posteriori probability of a mixture of several Gaussian distributions. The crop type and LULC maps were then generated by labeling the derived clusters using the best possible assignment method, referring to the existing crop type or LULC products. We evaluated the produced PlanetScope-based crop type and LULC maps using true labels, corresponding reference maps, and other unsupervised classification methods. The results demonstrated the robustness and effectiveness of the proposed framework in mapping crop types and LULC at 3–5 m pixels across various ecosystems, climate zones, and human-managed landscapes. The spatial patterns of PlanetScope-based maps were (1) highly comparable with all the reference datasets at 10–30 m spatial resolution and (2) better than the traditional GMM and K-means clustering methods. The VBGMM produced classification maps with high confidence, yielding class probabilities above 0.9 for over 90 % of all study areas. The area percentage for all crop type and LULC classes agreed well with their reference maps, with R2 of 0.95 and RMSE of 1.04 %. The confusion matrices using true labels indicated that PlanetScope-based maps achieved a higher overall accuracy of 84 % than the supervised referenced maps of 81 %. Besides, the entropy comparison showed that our framework-based maps were better at capturing fine-scale features such as developed areas within cities that commonly mix with open space and vegetation, deforestation and cropland conversion in South America, smallholder croplands in Africa and Asia, and generating homogeneous crop fields in North America. This study further highlighted the potential for future research to implement our proposed framework to generate timely and extensive annotated datasets, which can be used for operationally training machine learning models to map crop types and LULC, track deforestation, detect wildfires, and delineate flooded areas at larger scales using medium/coarse Earth observations.

Homelessness Increases In The Mountain West, 2015-2024, Krish Sharma, Sydney Mitchell, Mohit Pande, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Demography

This fact sheet presents data on homelessness increases in the Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah from 2015 to 2024. The data are derived from “Male homelessness in the United States,” a report by the American Institute for Boys and Men (AIBM). The original report includes data on the overall increase in homelessness in the United States from 2015 to 2024, as well as data on the increase in homelessness by gender.

The Art Of Memory: The Medieval Peutinger Map, Amber Shrewsbury

Dissertations and Theses

The Peutinger map is an enigma: a twelfth-century map of the Roman Empire, it is secular and oddly shaped, its dimensions distorted to show Rome at the center of the world. Its creator, purpose, and provenance currently remain lost to history. Long considered by classicists to be a copy of a lost Roman original, the map has not been seriously examined by medievalists, possibly because it does not adhere to the Christian "T-O" style of medieval mappaemundi.

While other scholars have focused on what the Peutinger map reflects about ancient Rome, I have chosen to explore how the Peutinger …

Protecting Cultural Heritage In A Changing Climate: A Risk Assessment Model For Galleries, Libraries, Archives, And Museums In Florida, United States, Emily E. Fisher

LSU Master's Theses

The aim of this research is to develop a climate threat risk assessment scale for galleries, libraries, archives, and museums within the State of Florida. Current research neglects the localized impact of tropical cyclones, inland flash flooding, and exposure to SLR on cultural institutions. Tropical cyclone events bring in flooding, intense wind speeds, and power outages which affect these institutions. Tropical cyclone data from the National Hurricane Center are used to represent historical wind occurrence. Finally, flash flood warning data are used to represent the flooding likelihood in each county. Each threat is assessed individually across Florida counties. The range …

Hyperspectral Band Selection Via Heterogeneous Graph Convolutional Self-Representation Network, Junde Chen, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Hyperspectral image (HSI) band selection (BS) plays a crucial role in HSI dimensionality reduction, aiming to identify a representative subset of bands with minimal redundancy. However, conventional BS approaches primarily operate in the Euclidean domain, often overlooking the structural characteristics of pixels and spectral bands, such as spatial continuity and spectral dependencies. In addition, they handle each HSI as an integrated unit to harness implicit spatial information, disregarding spatial distribution variations across different homogeneous regions. To fully leverage structural information, this study introduces a novel BS method, termed the dual heterogeneous graph convolutional network with enhanced self-representation (ESR-HGCN), for HSI …

Analyzing Environmental Health: Air Pollution And Human Health Using Geospatial Data Science, Yanhong Huang

Geography ETDs

Air pollution from industrial emissions and wildfire smoke poses growing threats to public health. This dissertation employs geospatial data science to examine these challenges through three interrelated studies. The first study investigates the relationship between maternal residential exposure to industrial pollutants and low birth weight, identifying five chemicals as significant risk factors. The second study assesses the impact of industrial air pollution on lung and bronchus cancer survival, finding that exposure to 1,1,1-trichloroethane and cobalt is associated with reduced survival. The third study explores disparities in wildfire smoke PM_2.5 exposure and its association with asthma exacerbations. Results show disparities …

The Effect Of Using Some Geographical Map Skills On Achievement Among Eleventh Grade Students - Literary Track Ministry Of Education And Higher Education In The State Of Qatar - Nasser Bin Abdullah Al Attiyah Secondary School For Boys - Social Studies Department - Academic Year 2019-2020, Bilal Al-Bayer

Al Jinan الجنان

This study aimed to measure the level of skills in reading and understanding geographical maps and assigning them of the Eleventh Grade Literary Track students at Nasser bin Abdullah Al-Attiyah Secondary School for Boys in the book "Geography", where a pre-skill test consisting of 30 questions was built to measure the level of students in reading and understanding geographical maps. After determining the school in which the experiment will be applied, the Eleventh Grade Literary Division (5), which consists of 28 students and which the researcher taught, was chosen. The data used was analyzed through the T-test to process the …

Remote Sensing-Based Assessment Of Evapotranspiration Patterns In A Unesco World Heritage Site Under Increasing Water Competition, Maria C. Moyano, Monica Garcia, Luis Juana, Laura Recuero, Lucia Tornos, Joshua B. Fisher, Néstor Fernández, Alicia Palacias-Orueta

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

In water-scarce regions, natural ecosystems and agriculture increasingly compete for limited water resources, intensifying stress during periods of drought. To assess these competing demands, we applied a modified PT-JPL model that incorporates the thermal inertial approach as a substitute for relative humidity (RH) in estimating soil evaporation—a method that significantly outperforms the original PT-JPL formulation in Mediterranean semi-arid irrigated areas. This remote sensing framework enabled us to quantify spatial and temporal variations in water use across both natural and agricultural systems within the UNESCO World Heritage site of Doñana. Our analysis revealed an increasing evapotranspiration (ET) trend in intensified agricultural …

The Impact Of Agricultural Land Conversion On The Economy And Space Utilization In Jatimulyo And Way Huwi Villages, South Lampung Regency, Lampung Province, Yudha Rahman, Adnin Musadri Asbi, Annisa Maharani, Khalid Ahmad Ramadhan

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

No abstract provided.

Du Undergraduate Showcase Abstracts: Research, Scholarship, And Creative Works, Kabe Aberle, Nadia Kako, Kateri Mcrae, Brooke Agulnek, Sky Palmon, Yasmine Ramirez, Francisca Aguirre Beltran, Ashley Juarez, Bridget Kim, Tessa Appel, Sterling Kerr, Spencer Ingley, Gabe Meyer, Robin Tinghitella, Dale Broder, Lily Baeza, Chloe Beers, Julia Coakley, Whitney Kelsey, Sydney Gainforth, Gabi Wing, Audrey Martin, Aaliyah Amore Berry, Brooke Watley, Kiruthika Venkatesan, Rachel Bienstock, Annabella Brotherston, Madison Bryant, Mia Burgener, Emma P. Lieb, Rachel A. Johnson, Jennifer L. Hoffman, Kania Campbell, Kiena Campbell, Courtney Cassidy, Sage Krzyzkowski, Maddox Jones, Skylar Abookire, Luke Hawkins, Sunnah Yoon, Andrea Chu, Yan Qin, Nyah Cubbison, Brian Gearity, Daniel Mcintosh, Mariely Cruz, Edward Garrido, Grady Dionne, Nicole Doris, Lyndsie Salvagio, Ann-Charlotte Granholm-Bentley, Anna Dymov, Hannah Eckert, Gabrielle Welsh, Erica Larson, Charlie Ernst, Anna Zhou, Sarah Watamura, Larissa Fedorovich-Klein, Georgie Fields, Kimberly A. Guevara, Aven Mccall, Ben Peltier, Feruz Yahia, Patrick Flores, Jadyn Floyd, Sophia Forcier, J. Von R. Monteza, Peter Sokol-Hessner, Gwendolyn Geiger, Scott Nichols, Camryn Gunter, Kendal Hengst, Charlie Bednarz, Issy Garside, Addison Baker, Rachel Mina, Brooke Hermanson, Amanda Klingler, William Highfill, Sydney Jaques, Kerstin Lewey, Allison Grossery, Daniel Linseman, Ethan Lim, Jagger Livengood, Owen Mantelli, Gabby Pappas, Abby Mcdonald, Madeleine Dierking, Eve Miller, Emma Loeber, Anna Marlow, Michael Kerwin, Ella Mathews, Hillary Hamann, Khadija Mohamed, Vivian Nguyen, Gabri Notov, Ifunayachi Ogbonna-Ukuku, Sunil Kumar, Charles Baysah, Sarah Olson, Don Sullivan, Anna Paradiso, Jay Parrish, Mira Pronobis, Alisha Pravasi, Kerstin Haring, Diego Ramirez, Christopher Reardon, Juliana Ramirez, Casey Doherty, Ella Kestner, Teagan Weindel, Cate Billings, Pablo Torre-Walter, Lucy Rand, Samantha Reynolds, Mark Siemens, Khadeeja Rashid, Laine Satterlee, Piper Heilbronner, Lily Pound, Ben Whitehurst, Anna Respet, Lizzie Lesoing, Sydney Hertel, Aya Saad-Masri, Brooke Ballenger, Max Proske, Hannah Rosenberg, Ellia Nakahara, Sophia Espinoza, Ivan Woolhouse, Simon Ruland, Gorkem Er, Timothy Sweeny, Melaku Saketa, Michela Schenk, Maren Lynch, Madi Hamm, Grace Schroeder, Michelle Rozenman, Rana Seif, Jackson Hall, Marisela Simental, Daniel Paredes, Aaron Mena, Preston Spaan, Evelyn Stovin, David Andrew Swartz, Anh Tran, Daniel Pittman, Luke Farchione, Emily Boyer, Ukari Verner, Lacey Conrad, Jonathan Velotta, James Weiner, Jagger Gossett, Noah Sherry, Sam Proud, Ben Block, Avi Narayana, Zoey Weiss, Alyssa Wilson, Gabrielle Walsh, David Zonana, Keely Wright, Kena Riveria, Lillybelle Deer, Jena Doom, Elysia Davis, Isabelle Yaremenko, Caitlyn Young

DU Undergraduate Research Journal Archive

Abstracts from the DU Undergraduate Research Showcase.

A Novel Approach To Increase Accuracy In Remotely Sensed Evapotranspiration Through Basin Water Balance And Flux Tower Constraints, Kul Khand, Gabriel B. Senay, Mackenzie Friedrichs, Koong Yi, Joshua B. Fisher, Lixin Wang, Kosana Suvočarev, Arman Ahmadi, Housen Chu, Stephen Good, Kanishka Mallick, Justine Missik, Jacob A. Nelson, David E. Reed, Tianxin Wang, Xiangming Xiao

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Remote sensing-derived evapotranspiration (RSET) products capture the spatiotemporal variations of evapotranspiration (ET) from field to basin scales with unprecedented details. However, their accuracy varies across RSET estimation methods and diverse hydroclimate regions. While ET modeling efforts to account for biophysical processes and controlling parameters have made good progress in recent years, a parallel approach of integrating in-situ ET with RSET could reduce biases in RSET products. Basin water balance ET (WBET) and flux tower ET are widely applied to evaluate RSET accuracy, yet such ET measurements are rarely used for RSET bias corrections, especially for large area applications. To address …

Adaptation Planning To Mitigate Flood Risk: Bellevue, Nebraska As A Case Study, Michael Nti Ababio

Community and Regional Planning Program: Theses

Flooding remains one of the most pressing natural hazards in the United States, with increasing frequency and intensity driven by climate change. This thesis explores the adaptation planning strategies employed to mitigate flood risks in Bellevue, Nebraska, a city significantly impacted by the 2019 floods in eastern Nebraska. Using a mixed-methods approach, the study combines quantitative analysis of flood vulnerability with a critical review of local planning policies using documents, zoning ordinances and institutional frameworks. Spatial analytical tools such as Global Moran’s I and Hot Spot Analysis (Getis-Ord Gi*) were used to detect clustering of inundated buildings during the 2019 …

Assessment Of Spatial Autocorrelation And Scalability In Fine-Scale Wildfire Random Forest Prediction Models, Madeleine Pascolini-Campbell, Joshua B. Fisher, Kerry Cawse-Nicholson, Christine M. Lee, Natasha Stavros

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Wildfire prediction models that can be applied across diverse regions at fine scales (<  100 m) are critical for wildfire management. Remote sensing offers a path forward by providing heterogeneous and dynamic measurements of fuel load, type, and flammability. Machine learning methods such as random forests provide an empirical framework that are high-accuracy, computationally efficient, interpretable and able to model complex ecological relationships. Here we use high resolution (70 m, every 3–5 days) remote sensing observations of evapotranspiration and evaporative stress index, which represent plant water stress, from Ecosystem Spaceborne Thermal Radiometer on Space Station (ECOSTRESS), as well as topography and weather data, to predict burn severity and occurrence for 8 large wildfires that burned 3715 km² from 2021 and 2022 in New Mexico, USA. These fires ranged from low to high burn intensity, and covered a diverse range of ecoregions (deserts, grasslands, forests), plant species, and topographies. We used a single model to predict the burn severity of all wildfires one week before occurrence. The prediction accuracy was greatest when using all predictors (ECOSTRESS, weather, topography) (R² = 0.77). We assessed the role of spatial autocorrelation in driving model performance by: (1) increasing the sample spacing of our dataset, (2) …

The Sulu Sea Mandate: A Diplomatic And Military Initiative To Ensure Freedom Of The Seas, John Cheney

Theses

This thesis advocates the establishment of an official US government diplomatic policy, and recommends specific means for its implementation. By combining a written narrative with a unique and highly detailed Geographic Information System (GIS,) this thesis argues that securing the Philippines archipelago from further Chinese annexations is a US strategic imperative. To that end, US military forces and capabilities- particularly those of the US Marine Corps (USMC)- would be integrated into the revamped defense of the Philippines.

Utilizing a variety of datasets, the thesis GIS depicts such features as geopolitical boundaries, conflict zones, maritime trade routes, bathymetry, navigational hazards, undersea …

Clusters In The Storm: Regional Economic Specialization Before And After Hurricane Harvey, Gwyneth King Waddington

Theses and Dissertations

In recent years, large-scale disaster events have dominated headlines. As the world faces an increasing number of such disasters, it is crucial to understand their impacts beyond immediate monetary losses. Disasters not only directly impact individuals and businesses but may also reshape the spatial patterns of the regional economy. Through a case study of Hurricane Harvey in Texas and Louisiana, this study examines how disaster events influence regional economic specialization patterns and contribute to uneven impacts across economic supersectors and geographies. Expanding on previous methodologies, this study incorporates temporal analysis tools to identify and investigate case studies of economic change. …

Use Of High-Throughput Phenomics With And Without Fungicide As A Wheat Breeding Tool, Gerardo Ivan Rivera Collazo

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Wheat (Triticum aestivum) is an important food staple for many countries around the world and current consumption and production data demonstrate a production deficit. Breeders are challenged to help close this gap in production by selecting better cultivars with improved yields. Several methods aim to accelerate the breeding process to reduce the time required for releasing an elite variety. One of the main breeding bottlenecks is the lack of fast and reliable phenotypic data acquisition that could dissect physiological and morphological plant data. High-throughput remote sensing could have the potential to reduce this bottleneck by streamlining data acquisition, …

The Surface Water And Ocean Topography (Swot) Mission For River And Lake Ice Application, Sunwoo Yoon

Earth Sciences Theses and Dissertations

The Surface Water and Ocean Topography (SWOT) mission, launched in December 2022, is designed for global survey of Earth’s surface water. However, the seasonal freezing of lakes and rivers combined with SWOT’s unique interferometric radar characteristics presents a valuable opportunity to assess its potential for river and lake ice applications. In this dissertation, I first compare backscatter characteristics over open water and frozen lakes and rivers. I demonstrate strong contrast in backscatter between water and ice while accounting for incidence angle, highlighting SWOT’s capability to discriminate between surface cover types. However, overlapping backscatter signatures suggest further investigation of drivers of …

Dynamicpatch: Method And Software For Spatially Explicit Dynamic Patch Transition Characterization, Aiyin Zhang, Robert Gilmore Pontius, Thomas Mumuni Bilintoh, Florencia Sangermano, John Rogan

Geography

Context: Decades of research have used spatial pattern metrics at time points, such as those in FRAGSTATS, to measure the net change of landscape configuration and composition during time intervals. However, metrics at time points fail to quantify a time interval’s gross change, which can be substantially larger than net change between two time points. The field of landscape ecology has lacked a conceptual framework and accompanying software to characterize patterns of gross change during time intervals in terms of patches that are spatially explicit with a typology that is mutually exclusive and collectively exhaustive.

Objectives: We present a new …

Relative Hazard Losses Along The Atlantic And Gulf Coasts, Erin Kemp

Theses and Dissertations

Coastal areas face a variety of natural hazards, many of which are increasing in frequency or severity due to climate change. Continued coastal development emphasizes the need for a better understanding of the impact of these hazards on coastal communities. This study aims to improve this understanding by investigating temporal, spatial, and causal patterns in county-level relative losses (RL) from hazards along the Atlantic and Gulf Coasts from 2001 to 2021. Three research questions are addressed: 1) Are relative losses increasing over time in coastal counties? 2) Where are the highest relative losses among coastal counties? and 3) Which hazards …

Reluctant Transitions: Place And Post-Extraction Politics In Southeastern Ohio, Jenna Lynn Haver

Theses and Dissertations

Based on a summer of ethnographic research in a subsection of Appalachian Ohio colloquially referred to as “The Valley,” this research challenges three narratives of this place that formulate a harmful Appalachian imaginary. The first narrative of industrycontrolled coal heritage is complicated by the way local people negotiate control over their own stories of coal and its existence outside of industry domain. The second narrative characterizes this as a space of extraction which is in tension with different social relations to varying types of energy – especially the discontinuity of the coal to fracking shift. The third narrative centers of …

Combining Remote Sensing And Field Sampling To Assess Microphytobenthos Distribution In The North Inlet Estuary, South Carolina, Joseph Carmine Mcguinn

Theses and Dissertations

The study of microphytobenthos (MPB) distributions in mudflat ecosystems is critical for understanding coastal ecosystem health and resilience. This research integrates high-resolution multispectral imagery and elevation data to predict chlorophyll-a concentrations in mudflats within the North Inlet estuary, South Carolina. Using statistical analyses, MSAVI was identified as the most effective spectral index for chlorophyll-a prediction, and a regression model was generated for this index, finding significant correlation with elevation. Temporal and spatial patterns of chlorophyll-a distributions were explored through predictive rasters, revealing significant relationships between MPB abundance and microtopography. These findings demonstrate the value of remote sensing for …

Crazy Mountain Fiber Fest 2025, Sweet Grass County, Montana, Ava Worbets, Kika Bradford, Megan Schultz

Institute for Tourism and Recreation Research Publications

This study was conducted for the Sweet Grass County Chamber of Commerce to provide insight into the characteristics of attendees of the 2025 Crazy Mountain Fiber Fest. Fifty-two attendees of the event completed the survey. Results show that 92% of respondents were residents of Montana, of which 33% were from Sweet Grass County. Out-of-county respondents spent an average of 3.9 nights in Montana, reporting a total spending of $8,770.00, mostly in hotel/motel/bed and breakfasts. Results provide event organizers with useful data for future event planning, making improvements to the event, event marketing/promotion, and understanding the visitor spending associated with the …

Between Florida And The World: Young People And The Politics Of Citizenship, Jessica Flach

Theses and Dissertations

This thesis critically examines how American high school students experience and make sense of global citizenship within the context of a commercial educational tour. Drawing on a case study of students from a Title I public high school in Florida, the research interrogates the narratives of civic transformation promoted by educational travel companies and explores how these narratives intersect with students’ lived realities. Combining ethnographic methods, interviews, and critical discourse analysis, the study reveals that global citizenship is not meaningfully realized through such travel experiences; rather, it is fragmented, depoliticized, and often disconnected from the civic education students receive in …