Geography Commons^™

Evaluating The Spatial Trends And Statistical Determinants Of Residential Solar Uptake In Washington State, Caleb Michael Valko

All Master's Theses

Washington State’s Clean Energy Transformation Act and other state and federal policies encouraging solar power make Washington a ripe candidate to examine growth, trends, and potential determinants or barriers to residential solar uptake. In this thesis, residential solar is cumulatively and annually mapped by county (2000-2019) and Census tract (2017-2019) across the state to identify trends over time and space. Each variable (income, age, households, race, education, solar insolation, cost of solar per watt) was isolated individually to analyze the relationship (if any) to the dependent variable (i.e., residential solar installations). The covariates are then combined into a multiple regression …

Transitioning To Legalization Of Cannabis In Washington State: Regulations’ Impacts On Commodification, Metabolism, & Labor Practices, Rob Loewen

All Master's Theses

This thesis provides an ethnographically grounded analysis of how existing regulations shape the legal recreational cannabis industry in Washington State. I examine the processes involved from seed to sale, including cultivation, processing, quality-control testing, and distribution of recreational cannabis. The goal of this research is to provide a greater understanding of how existing regulations were formed and how they shape social relations within the industry. This study seeks to answer the question: “How are the processes of production within the recreational cannabis industry, along with its labor force and its consumers, impacted by societal perceptions about cannabis, encapsulated within state …

The Value Of Urban Flood Modeling, B. R. Rosenweig, P. Herreros Cantis, Y. Kim, A. Cohn, K. Grove, J. Brock, Heejun Chang, Multiple Additional Authors

Geography Faculty Publications and Presentations

Floods are important disturbances to urban socio-eco-technical systems and their meteorological drivers are projected to increase through the century due to global climate change. Urban flood models are numerical models that have the capability of representing the features of urban ecosystems and the mechanisms of flooding that impact them. They have the potential to play a critical role in flood risk assessment, operational response, and resilience planning, but existing models remain limited in their capability to represent integrated flooding processes in urban areas and provide the credible quantitative information needed to support risk assessment and resilience practice. Research to advance …

Orienting New International College Students During A Global Pandemic: Spatiality’S Contributions To Staff Work Practices, Thomas W. Teague Jr.

Theses and Dissertations--Educational Policy Studies and Evaluation

U.S. colleges must increasingly respond to a wide range of complex forces and simultaneously fulfill their missions and support students. To address many of these forces, some have turned to internationalization efforts like recruiting and enrolling international students. In light of these efforts, critics have called for institutions to better, more appropriately support these students, given their challenges and needs. This call has amplified during the recent COVID-19 global health pandemic.

Traditional student support services tend to center around Tinto’s Theory of Student Departure. Examples of support programming are frequently shared, yet rarely detail how institutional staff actually perform them …

Glacial Deposits, Vol. 46, 2021, Department Of Geography, Geology, And The Environment

Glacial Deposits

Newsletter of the Department of Geography, Geology, and the Environment

Effects Of Training Set Size On Supervised Machine-Learning Land-Cover Classification Of Large-Area High-Resolution Remotely Sensed Data, Christopher A. Ramezan, Timothy A. Warner, Aaron E. Maxwell, Bradley S. Price

Faculty & Staff Scholarship

The size of the training data set is a major determinant of classification accuracy. Neverthe- less, the collection of a large training data set for supervised classifiers can be a challenge, especially for studies covering a large area, which may be typical of many real-world applied projects. This work investigates how variations in training set size, ranging from a large sample size (n = 10,000) to a very small sample size (n = 40), affect the performance of six supervised machine-learning algo- rithms applied to classify large-area high-spatial-resolution (HR) (1–5 m) remotely sensed data within the context of a geographic …

Sexual And Place-Based Identity: A Life Course Analysis Of Lgbtq+ Undergraduate Understandings Of Climate Change In Appalachia, Brandon Anthony Rothrock

Graduate Theses, Dissertations, and Problem Reports (ETD)

LGBTQ+ persons face heightened vulnerability to climate change-induced disasters due to their sexual orientation, gender identity, and gender expression. Yet, there are limited studies that examine how LGBTQ+ students, particularly in a higher-education setting, understand climate change in relation to their sexuality. With a majority of studies on LGBTQ+ persons and climate change focusing on LGBTQ+ experience during and after disaster, there is a gap in understanding LGBTQ+ perceptions of climate change in the day-to-day. Particularly in Appalachia, a region characterized by a strong place-attachment to and a collective identity with the natural environment, studies of marginalized groups’ perceptions of …

Factors Inhibiting Implementation Of A Comprehensive Disaster Management Framework In Trinidad And Tobago, Julie Urslin Samaru

Walden Dissertations and Doctoral Studies

AbstractIdentifying and exploring the factors inhibiting implementation of a comprehensive disaster management framework to guide the operations of disaster management is a public policy imperative for the Republic of Trinidad and Tobago. Despite the increased frequency and severity of natural and human-made disasters during the past decade, challenges continue with ensuring effective levels of preparedness for responding agencies in Trinidad and Tobago. The current study explored the lived experiences of first responding agencies that operate without a comprehensive disaster management framework. Two theoretical frameworks served as the foundation for this study: the advocacy coalition framework and the multiple streams framework, …

Putting Policy In Its Place: Policy Enactment And Engagement Through A Multiscalar Policy-Shed Framework, Barbara L. Maclennan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The objective of this research is to examine the spatial components integral to policy formation, implementation, and evaluation. The research uses solid waste as a case study to explore a multiscalar GIS policy-shed framework. To this end, the goal of this dissertation is to examine the spatial nature of public policy. The research applies spatial concepts and multiscalar methodological applications embedded within GIS and geovisualization to explore the complex spaces surrounding public policy implementation and evaluation.

State Changes: Insights From The U.S. Long Term Ecological Research Network, Julie C. Zinnert, Jesse B. Nippert, Jennifer A. Rudgers, Steven C. Pennings, Grizelle González, Merryl Alber, Sara G. Baer, John M. Blair, Adrian Burd, Scott L. Collins, Christopher Craft, Daniela Di Iorio, Walter K. Dodds, Peter M. Groffman, Ellen Herbert, Christine Hladik, Fan Li, Marcy E. Litvak, Seth Newsome, John O’Donnell, William T. Pockman, John Schalles, Donald R. Young

Advanced Science Research Center

Understanding the complex and unpredictable ways ecosystems are changing and predicting the state of ecosystems and the services they will provide in the future requires coordinated, long-term research. This paper is a product of a U.S. National Science Foundation funded Long Term Ecological Research (LTER) network synthesis effort that addressed anticipated changes in future populations and communities. Each LTER site described what their site would look like in 50 or 100 yr based on long-term patterns and responses to global change drivers in each ecosystem. Common themes emerged and predictions were grouped into state change, connectivity, resilience, time lags, and …

Time Lags: Insights From The U.S. Long Term Ecological Research Network, Edward B. Rastetter, Mark D. Ohman, Katherine J. Elliott, J. S. Rehage, Victor H. Rivera-Monroy, R. E. Boucek, Edward Castañeda-Moya, Tess M. Danielson, Laura Gough, Peter M. Groffman, C. Rhett Jackson, Chelcy Ford Miniat, Gaius R. Shaver

Advanced Science Research Center

Ecosystems across the United States are changing in complex ways that are difficult to predict. Coordinated long-term research and analysis are required to assess how these changes will affect a diverse array of ecosystem services. This paper is part of a series that is a product of a synthesis effort of the U.S. National Science Foundation’s Long Term Ecological Research (LTER) network. This effort revealed that each LTER site had at least one compelling scientific case study about “what their site would look like” in 50 or 100 yr. As the site results were prepared, themes emerged, and the case …

Overcoming Loneliness: First-Generation Slavic Immigrants' Experience With Loneliness In The Inland Northwest, Charles C. Crook

EWU Masters Thesis Collection

The plight of loneliness has caused devastation to many social and cultural groups’ well-being. Scholars have analyzed and documented its adverse health such as suicide (Stravynski and Boyer 2001), Alzheimer’s disease (Wilson et al. 2007), depression (Erzen and Çikrikci 2018), immune system complications (Hawkley and Cacioppo 2003), and cardiovascular complications (Hawley and Cacioppo 2003). Some compare its health impacts to smoking 15 cigarettes a day (Health Resources and Services Administration 2019), while others emphasize how loneliness compels people to internet addiction (Ayas and Horzum 2013) and alcohol abuse (Åkerlind and Hörnquist 1992). Among the most susceptible populations to loneliness are …

Atmospheric Carbon And Transport – America (Act-America) Data Sets: Description, Management, And Delivery, Y. Wei, R. Shrestha, S. Pal, T. Gerken, S. Feng, J. Mcnelis, D. Singh, M. M. Thornton, A. G. Boyer, M. A. Shook, G. Chen, B. C. Baier, Z. R. Barkley, J. D. Barrick, J. R. Bennett, E. V. Browell, J. F. Campbell, L. J. Campbell, Y. Choi, J. Collins, J. Dobler, M. Eckl, A. Fiehn, A. Fried, J. P. Digangi, R. Barton-Grimley, H. Halliday, T. Klausner, S. Kooi, J. Kostinek, T. Lauvaux, B. Lin, Christopher A. Williams

Geography

The ACT-America project is a NASA Earth Venture Suborbital-2 mission designed to study the transport and fluxes of greenhouse gases. The open and freely available ACT-America data sets provide airborne in situ measurements of atmospheric carbon dioxide, methane, trace gases, aerosols, clouds, and meteorological properties, airborne remote sensing measurements of aerosol backscatter, atmospheric boundary layer height and columnar content of atmospheric carbon dioxide, tower-based measurements, and modeled atmospheric mole fractions and regional carbon fluxes of greenhouse gases over the Central and Eastern United States. We conducted 121 research flights during five campaigns in four seasons during 2016–2019 over three regions …

Encoding A Categorical Independent Variable For Input To Terrset’S Multi-Layer Perceptron, Emily Evenden, Robert Gilmore Pontius

Geography

The profession debates how to encode a categorical variable for input to machine learning algorithms, such as neural networks. A conventional approach is to convert a categorical variable into a collection of binary variables, which causes a burdensome number of correlated variables. TerrSet’s Land Change Modeler proposes encoding a categorical variable onto the continuous closed interval from 0 to 1 based on each category’s Population Evidence Likelihood (PEL) for input to the Multi-Layer Perceptron, which is a type of neural network. We designed examples to test the wisdom of these encodings. The results show that encoding a categorical variable based …

Debtor Spaces: Austerity, Space, And Dispossession In Michigan’S Emergency Management System, Melissa Heil

Faculty Publications - Geography, Geology, and the Environment

In recent years, debt has become a major focus of geographic research as debt relations have become increasingly central to today’s financialized capitalist economy. This paper bridges two aspects of the debt literature: (1) the emergent literature on debt spatiality, which argues that space plays an active role in the creation and maintenance of debt relations, and (2) the broader literature examining processes of debt-driven dispossession (e.g., foreclosure, eviction, austerity, etc.). Recent literature in geography, led by Harker’s work on debt spaces, has argued that debt should not only be understood as a temporal relation (a promise of future labor) …

Volunteer Urban Environmental Stewardship, Emotional Economies Of Care, And Productive Power In Philadelphia, Alec Foster

Faculty Publications - Geography, Geology, and the Environment

Recent efforts to increase urban forests and greenspaces rely on the volunteer labor of individuals and environmental nonprofits. The estimation of market values has often justified urban greening. These neoliberal approaches to urban environmental governance have been heavily critiqued, revealing the uneven power relationships and urban environments that result. This paper aims to move beyond such critiques by exploring how the reproduction of urban nature can be valued outside of the market. Fieldwork with volunteers participating in environmental stewardship in Philadelphia revealed their participation was motivated by intense emotional attachments to their neighborhoods, other participants, and nonhuman others, leading me …

Hmong In The Twin Cities: Diaspora Experiences And Personal Identities, Anisha Rajbhandary

Geography Honors Projects

Asian Americans as a whole have been portrayed as “model minorities” due to their higher degree of socioeconomic success compared to the average population. However, this “model minority” stereotype primarily based upon the voluntary immigration experiences of East and South Asians with greater socio-economic resources, hardly accounts for the immigration experiences of other Asian groups such as Hmong Americans. Utilizing extensive literature review, first person interviews and collected survey data, this paper explores Hmong diaspora and identity in the Twin Cities of Minnesota, analyzing how Hmong Americans reconcile with the stereotypes set for Asian “model minorities” and construct their own …

Can Stable Isotopes From Tree Rings Improve Our Understanding Of Past Variability In The Southern Annular Mode?, Zachary Grzywacz

Graduate Theses, Dissertations, and Problem Reports (ETD)

Few annually dated stable isotope records exist across Oceania. In mid- to high-latitude locations in South America, tree-ring stable isotopes provide information about past climate dynamics such as the Southern Annular Mode (SAM). The SAM drives latitudinal shifts in Southern Hemisphere westerly winds, influencing temperature and moisture delivery across the mid- to high-latitudes, including Tasmania. Combinations of paleoclimate proxies from across the Southern Ocean might provide insight into dynamic processes like the SAM that are difficult to measure with a single proxy. Measuring stable carbon and oxygen isotope ratios from tree rings in Tasmania could provide complementary data to contribute …

Assessing Synthetic Aperture Radar (Sar)-Derived Temporal Patterns And Digital Terrain Data For Palustrine Wetland Mapping, Jaimee L. Pyron

Graduate Theses, Dissertations, and Problem Reports (ETD)

Palustrine wetland systems are important ecosystems and provide numerous ecosystems services to support society. Unfortunately, they remain under constant threat of devastation due to land use practices and global climate change, which underscores the need to identify, map, and monitor these landscape features. This study explores harmonic coefficients and seasonal median values derived from Sentinel-1 synthetic aperture radar (SAR) data, as well as digital elevation model (DEM)-derived terrain variables, to predict palustrine wetland locations in the Vermont counties of Bennington, Chittenden, and Essex. Support vector machine (SVM) and random forest (RF) machine learning models were used with various combinations of …

Effects Of States’ Laws On Youth Physical Activity Participation And Obesity Prevalence, Chae Young Chang

Midwest Social Sciences Journal

The alarming prevalence of obesity and lack of physical activity among adolescents led to immediate policy action to address these concerns. Accordingly, many states introduced and enacted their own legislation to encourage physical activity in schools. Few studies have explored the effectiveness of the new legislation, however, especially at the state level. To answer the fundamental question of whether policy is effective and to describe the varying effects of state obesity policies, this study analyzed the Youth Risk Behavior Surveillance System from 2007 to 2017. Using the difference-in-differences method, this study found that legislative efforts to encourage physical activity had …

Profitable Retail Customer Identification Based On A Combined Prediction Strategy Of Customer Lifetime Value, Yinglu Sun, Dong Cheng, Subir Bandyopadhyay, Wei Xue

Midwest Social Sciences Journal

As a fundamental concept of customer relationship management, customer lifetime value (CLV) serves as a crucial metric to identify profitable retail customers. Various methods are available to predict CLV in different contexts. With the development of consumer big data, modern statistics and machine learning algorithms have been gradually adopted in CLV modeling. We introduce two machine learning algorithms—the gradient boosting decision tree (GBDT) and the random forest (RF)—in retail customer CLV modeling and compare their predictive performance with two classical models—the Pareto/NBD (HB) and the Pareto/GGG. To ensure CLV prediction and customer identification robustness, we combined the predictions of the …

Ensemble Encoder-Decoder Models For Predicting Land Transformation, Pariya Pourmohammadi

Graduate Theses, Dissertations, and Problem Reports (ETD)

In studying dynamic and complex processes which are influenced by a system of inter-connected driving variables, it is crucial to apply models that can learn the complexity of the interactions. Land transformation is one of such complex processes, prediction of which can help to mitigate severe climate situations and improve the resiliency of communities. In this study, a multi-spectral set of data cubes is used to capture various characteristics of a geographic region. Based on the data cube, a feature space is constructed using socio-economic attributes, terrain characteristics, and landscape traits of the study region. Two-dimensional and three-dimensional convolutional neural …

Advancing The Spatial Turn In History Through Deep Mapping: Ghost Maps, Neogeography, And Frederick Jackson Turner, Jessica L. Mathai

Graduate Theses, Dissertations, and Problem Reports (ETD)

The permeation of the spatial turn into the humanities, and in particular history, has both imbued scholarship and opened up new areas for research. This dissertation examines the conceptual and theoretical implications of advancing the spatial turn in history and evaluating existing approaches such as Historical GIS and ghost mapping as a foundation for deep mapping. The resulting deep map developed in this study utilizes Neogeography and web technology in the form of JavaScript Application Programming Interfaces (APIs) to develop a prototype that overcomes many of the limitations that occur when simultaneously integrating multiple sources of data and software functionality, …

O Espaço E O Tempo Do Valor, David Harvey, Artur Renzo

Publications and Research

O artigo discute a lei do valor em Karl Marx como valor em movimento, que se faz valer no espaço e no tempo. Entende-se que o movimento não pode ocorrer no vácuo, sendo necessário abandonar a visão do valor que se move sem estar ancorado em nenhum lugar e passar a enxergá-lo criando geografias de cidades e redes de transportes; formando paisagens agrícolas para a produção de alimentos e matérias-primas; englobando fluxos de pessoas, bens e informações; determinando configurações territoriais de valores fundiários e habilidades de trabalho; organizando espaços de trabalho, estruturas de governo e administração. Conclui-se que há três …

A Systematic Method For Measuring Gentrification Using Building Permits Data: A Washington D.C Case Study, Andey Fomil

Graduate Theses, Dissertations, and Problem Reports (ETD)

Gentrification can significantly alter the socioeconomic, demographic, and commercial aspects of a city. It is a complex process that transforms the characteristics of entire neighborhoods, modifying not only the observable physical aspects, but also the community structure. Traditional quantitative gentrification measurement approaches assess the process through analysis of Census demographic indicators coupled with field visit analysis of the physical built environment. This study proposes a new gentrification measuring approach that combines traditional Census indicators with a new indicator in the form of City Building Permits. Two GIS spatial analysis techniques are utilized to evaluate the effectiveness and accuracy of the …

Three Essays On “Energy , Environment, And Developmental Economics”, Bolarinwa Ajanaku

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation examines topics related to renewable energy development and investment planning, energy markets, environment degradation and economic development. The substantial ecological costs of deforestation are well known and considered globally important due to biodiversity loss, land degradation, soil erosion, and contributions to climate change. The first essay focuses upon understanding the tradeoff between development and deforestation in Africa. In the second essay, spatial analysis and Geographic Information System (GIS) are applied to determine potential locations for wind farms development in the state of West Virginia. Lastly, the third essay examines the role of wind power penetration on wholesale electricity …

Evaluating St. Catherines Island's Shoreline, Vegetation Line, And The Locations Of Loggerhead Sea Turtle Nests, Sydney O. Davis

College of Graduate Studies: Theses & Dissertations

St. Catherines Island is a highly dynamic barrier island on the Georgia coast that is also federally listed critical nesting habitat for loggerhead sea turtles. Understanding how St. Catherines’ shoreline and vegetation is changing over time is geographically important as a potential template for other barrier islands. Measuring sea turtle nest locations will provide insight into their natural patterns and how they adjust those locations on a changing barrier island. Analyzing Moving Boundaries Using R (AMBUR) is implemented in this research to assess the movement of the vegetation and shorelines from 2005-2017 using the End Point Rate (EPR) and Linear …

Reassessing The Ranging Behavior Of Black-And-White Ruffed Lemurs (Varecia Variegata) In Ranomafana National Park, Madagascar, Jelisa R. Oliveras

Dissertations and Theses

This study investigates black-and-white ruffed lemur (Varecia variegata) space use and movement using autocorrelated kernel density estimation (AKDE), a new methodology available from the continuous-time movement model (ctmm) package in R. Data were collected from 24 adults and subadults (10 males, 11 females, 3 subadult males) living in two adjacent V. variegata communities at Mangevo bush camp in Ranomafana National Park, Madagascar (RNP) for 11 months (February – December 2008) to estimate annual and seasonal patterns of individual and community-level range use. Autocorrelated kernel density estimates generated in this study are compared to earlier kernel density estimates from …

Guest Editorial: Disaster, State And Science: Historical Narratives Of Extreme Weather In East Asia And The Pacific, Fiona Williamson

Research Collection School of Social Sciences

This curated special issue asks how history can be used as a lens into disaster and disaster management. It takes as its premise the idea that approaches from different disciplines - including the humanities and social sciences – can offer new perspectives on understanding disaster, managing disaster and disaster risk. The concept is not new, historically focussed studies have long provided meat for hazard investigations and modelling, especially those focused on geological or hydrological time-series analyses; multi-hazard interactions and identifying historical underliers for contemporary risk. It has become increasingly common, for example, to include historians in collaborative efforts to better …

การประเมินผลกระทบของน้ำท่วมฉับพลันต่อภาคการท่องเที่ยว: กรณีศึกษาจังหวัดน่าน, จุติมา สุตตเขตต์

Chulalongkorn University Theses and Dissertations (Chula ETD)

น้ำท่วมฉับพลันเป็นภัยธรรมชาติที่เกิดขึ้นทุกปีในประเทศไทยโดยเฉพาะจังหวัดน่าน ผลกระทบจากภัยดังกล่าวสร้างความเสียหายต่อชีวิตและทรัพย์สินของประชาชนในหลายภาคส่วน รวมถึงภาคการท่องเที่ยว ซึ่งเป็นภาคส่วนที่สร้างรายได้จำนวนมากให้กับจังหวัด เพราะน่านมีทรัพยากรธรรมชาติและวัฒนธรรมอันมีค่า อย่างไรก็ตามทรัพยากรดังกล่าวมีความอ่อนไหวต่อปัญหาน้ำท่วมฉับพลันซึ่งไม่สามารถหลีกเลี่ยงได้ งานวิจัยนี้จึงมีวัตถุประสงค์เพื่อประเมินพื้นที่เสี่ยงต่อการเกิดน้ำท่วมฉับพลันในจังหวัดน่านโดยใช้แบบจำลองดัชนีชี้วัดศักยภาพการเกิดน้ำท่วมฉับพลัน (Flash Flood Potential Index) และการสร้างแบบจำลองประเมินผลกระทบต่อภาคการท่องเที่ยวโดยมีองค์ประกอบของภาคส่วนการท่องเที่ยวที่มีผลต่อความอ่อนไหวของน้ำท่วม นำมาวิเคราะห์บนระบบสารสนเทศภูมิศาสตร์ ผลการวิเคราะห์ พบว่า พื้นที่ส่วนใหญ่ที่มีความอ่อนไหวต่อการเกิดน้ำท่วมฉับพลันเป็นพื้นที่ทางตอนเหนือของจังหวัดน่าน คือ อำเภอสองแคว อำเภอบ่อเกลือ อำเภอปัว และอำเภอทุ่งช้าง รวมถึงอำเภอเมืองน่าน ซึ่งเป็นพื้นที่ที่มีความลาดชันมาก และเป็นบริเวณที่มีปริมาณน้ำฝนเฉลี่ยรายปีสูงกว่าบริเวณอื่น ในส่วนผลการศึกษาด้านการประเมินผลกระทบของการเกิดน้ำท่วมฉับพลันต่อภาคการท่องเที่ยวในจังหวัดน่าน พบว่า พื้นที่ที่มีโอกาสได้รับผลกระทบมากที่สุด ได้แก่ ตำบลดู่ใต้ ตำบลไชยสถาน ตำบลผาสิงห์ ตำบลในเวียง อำเภอเมืองน่าน ตำบลม่วงตึ๊ด ตำบลฝายแก้วในอำเภอภูเพียง และ ตำบลปัว อำเภอปัว เนื่องจากมีแหล่งท่องเที่ยวสำคัญและที่พักจำนวนมาก ผลที่ได้จากการวิจัยนี้ สามารถเป็นแนวทางให้กับหลายภาคส่วนในการวางแผนเพื่อการเตือนภัย ลดความเสียหายจากภัยพิบัติ และป้องกันความเสียหายอันอาจจะเกิดกับแหล่งท่องเที่ยวและธุรกิจที่เกี่ยวเนื่อง