Doing Geography In Partnership With Local Organizations,
2021
Humboldt State University
Doing Geography In Partnership With Local Organizations, Amy Rock
Humboldt Geographic
No abstract provided.
Humboldt Geographic Issue 2,
2021
Cal Poly Humboldt
How The Pandemic Handed Me My Bachelor's Degree,
2021
Cal Poly Humboldt
How The Pandemic Handed Me My Bachelor's Degree, Cheri Anchondo
Humboldt Geographic
No abstract provided.
Queer Spaces Of Rome,
2021
California Polytechnic State University, Humboldt
Covid-19 Gave Me A Second Chance,
2021
Cal Poly Humboldt
Covid-19 Gave Me A Second Chance, Erendira Hernandez
Humboldt Geographic
No abstract provided.
Our Pandemic - Adjusted Lives,
2021
Cal Poly Humboldt
Our Pandemic - Adjusted Lives, Brenda Aguirre
Humboldt Geographic
No abstract provided.
Keeping Digital Space Evil,
2021
Cal Poly Humboldt
Rhovanion,
2021
Humboldt State University
Aspect Aware Contours,
2021
Cal Poly Humboldt
Come Closer: Geographies Of Care,
2021
Claremont Colleges
Come Closer: Geographies Of Care, Anam Mehta
Pomona Senior Theses
Geographies of Care during the Covid-19 Pandemic and beyond.
Profitable Retail Customer Identification Based On A Combined Prediction Strategy Of Customer Lifetime Value,
2021
National Academy of Innovation Strategy, CAST
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 …
Quantifying The Impact Of Remapping Floodplains On Residential Property Values In Snohomish County, Washington: A Hedonic Approach,
2021
Central Washington University
Quantifying The Impact Of Remapping Floodplains On Residential Property Values In Snohomish County, Washington: A Hedonic Approach, Carson Joseph Risner
All Master's Theses
Flood events are the most common and costly natural disasters. The Federal Emergency Management Agency (FEMA) quantifies flood risks in the form of Flood Insurance Rate Maps (FIRMS). These FIRMS delineate flood risks and are used to set flood insurance premiums. Changes in land use, the augmentation of the natural environment, is threatening the validity of the Nation’s FIRMS. Therefore, Congress has approved remapping programs to update these FIRMs ensuring that current flood risks are known. This remapping presents another issue, specifically for properties that are remapped into a flood zone. Current literature suggests that properties within flood zones are …
Evaluating The Spatial Trends And Statistical Determinants Of Residential Solar Uptake In Washington State,
2021
Central Washington University
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,
2021
Central Washington University
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 …
Time Lags: Insights From The U.S. Long Term Ecological Research Network,
2021
Marine Biological Laboratory
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 …
State Changes: Insights From The U.S. Long Term Ecological Research Network,
2021
Virginia Commonwealth University
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 …
Assessing Synthetic Aperture Radar (Sar)-Derived Temporal Patterns And Digital Terrain Data For Palustrine Wetland Mapping,
2021
West Virginia University
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 …
Factors Inhibiting Implementation Of A Comprehensive Disaster Management Framework In Trinidad And Tobago,
2021
Walden University
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, …
Three Essays On “Energy , Environment, And Developmental Economics”,
2021
West Virginia University
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 …
A Systematic Method For Measuring Gentrification Using Building Permits Data: A Washington D.C Case Study,
2021
West Virginia University
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 …
