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Full-Text Articles in Social and Behavioral Sciences

Front Matter, Nancy Hoalst-Pullen Jun 2024

Front Matter, Nancy Hoalst-Pullen

The Geographical Bulletin

Front Matter


Editors' Note, Casey D. Allen Jun 2024

Editors' Note, Casey D. Allen

The Geographical Bulletin

Editors' Note


Making Space For Yeast: Toward A Zymurpolitics, Walter W. Furness Jun 2024

Making Space For Yeast: Toward A Zymurpolitics, Walter W. Furness

The Geographical Bulletin

Geographic scholarship on craft brewing has characteristically fixated on place as a lens through which to understand and valuate ostensibly “local” beer, wherein fermentation acts as an alchemistic shorthand, transmuting far-flung ingredients into a product emphatically rooted in a particular location. However, yeast tends to receive little attention in this literature, even though it is a primary agent (alongside humans) in acting on raw materials to produce beer. Defying the notion of “hyperlocal,” yeast is frequently sourced from distant laboratories, though some breweries maintain their own cultures in-house. This paper draws on existing literature, observation, and interviews with brewers to …


Volume 63-1 Complete Issue, Nancy Hoalst-Pullen Jun 2024

Volume 63-1 Complete Issue, Nancy Hoalst-Pullen

The Geographical Bulletin

Volume 63-1 Complete Issue


From Mayberry To Merlot: Shifting Geographies Of Wine In The Yadkin Valley, North Carolina, Aron Massey Jun 2024

From Mayberry To Merlot: Shifting Geographies Of Wine In The Yadkin Valley, North Carolina, Aron Massey

The Geographical Bulletin

T he Yadkin Valley of North Carolina is in a period of transition. Tobacco has been the most important crop, and the tourism to the region focused on Mt. Airy, inspiration for the fictional town of Mayberry. Local officials are promoting wine tourism as a tactic to update these industries. Through qualitative fieldwork utilizing in-depth interviews with Yadkin Valley winemakers, tourism officials, business leaders, and a Baptist preacher, this project reveals the numerous geographies of wine evolving together as the industry grows in this region. The paper discusses the physical environment suitable for producing high-quality wines from European grape styles …


10 Miles From A Brewery: Population Demographics And Beer Consumption Patterns In The United States, Mark W. Patterson, Nancy Hoalst-Pullen, Winston S. Chu Jun 2024

10 Miles From A Brewery: Population Demographics And Beer Consumption Patterns In The United States, Mark W. Patterson, Nancy Hoalst-Pullen, Winston S. Chu

The Geographical Bulletin

T he number of craft breweries in the United States has increased dramatically in the last few decades, with the Brewers Association (2021a) recognizing that “more than 80 percent of Americans live within 10 miles of a brewery.” However, little is known about the population geographies within – as well as outside of – these 10-mile buffers surrounding breweries. Using 10-mile drive distance polygons, various demographics and beer consumption patterns were established at both national (U.S.) and regional levels. Results validate the Brewers Association’s pronouncement at the national level but showcase unique regional patterns in population, median household economics, and …


Dining Out With Allergies: Examing Boston's Allergy-Friendly Restaurant Landscape, Rebecca Marie Shakespeare Jun 2024

Dining Out With Allergies: Examing Boston's Allergy-Friendly Restaurant Landscape, Rebecca Marie Shakespeare

The Geographical Bulletin

According to a recent national survey, about ten percent of American adults, estimated 26 million, are likely to have food allergies (Gupta, et al. 2019). Food allergies have many psychosocial outcomes for adults, including social isolation, anxiety, and loneliness. Framing restaurants as a site of social engagement, this article seeks to describe the restaurant landscape for adults with food allergies in Boston. Using online user reviews from TripAdvisor and AllergyEats to identify locations of restaurants with mostly positive allergy-related reviews, this paper uses GIS to assess the geographic accessibility of allergy-friendly restaurants for locations across Boston. Reported allergy-friendly restaurants tend …


Connecticut Avas: Exploring And Understanding Wine In The Nutmeg State, Forest J. Katie, Katie Carroll Bowlick Jun 2024

Connecticut Avas: Exploring And Understanding Wine In The Nutmeg State, Forest J. Katie, Katie Carroll Bowlick

The Geographical Bulletin

Exploring the 260 AVAs in the United States is an exciting journey in geographic variation. An under-explored area of interest is the Nutmeg State – Connecticut. Despite ranking in the bottom quarter of wine producing states, Connecticut’s wine geography is varied and nuanced. With three distinct AVAs, 79 bonded wineries, and hundreds of millions of dollars of estimated annual economic impact, wine in Connecticut deserves a deeper look. This essay reflects on the nature of wine production in Connecticut by reviewing the establishment of its three AVAs, considering the factors that went into their establishment by reviewing documentation from initial …


Exploring The Geographies Of Food, Fermentation, And Drink, Nancy Hoalst-Pullen, Mark W. Patterson Jun 2024

Exploring The Geographies Of Food, Fermentation, And Drink, Nancy Hoalst-Pullen, Mark W. Patterson

The Geographical Bulletin

Food is inherently geographic. So many of us enjoy the notion of eating locally with the farm to table movement, yet simultaneously relish in globalization that allows for ingredients from far off lands to exist on the shelves of our local grocery store. Food is in many ways a geographical construct, as it provides a sense of place by embodying the use of ingredients and flavors to communities and locales, social interactions, spatial experiences, and place identities. In many ways, food is embedded into the historical, economic, cultural, and political fabrics of society (Atkins and Bowler 2016).


Toward Energy-Efficient Deep Neural Networks For Forest Fire Detection In An Image, Yali Wang, Chuulabat Purev, Hunter Barndt, Henry Toal, Jason Kim, Luke Underwood, Luis Avalo, Arghya Kusum Das Feb 2024

Toward Energy-Efficient Deep Neural Networks For Forest Fire Detection In An Image, Yali Wang, Chuulabat Purev, Hunter Barndt, Henry Toal, Jason Kim, Luke Underwood, Luis Avalo, Arghya Kusum Das

The Geographical Bulletin

Forest fires cause huge losses and are a serious problem facing many countries worldwide, including the USA, Canada, Brazil, Siberia, and Indonesia, to name a few. Automatic identification of forest fires in an image is thus an important field to research in order to minimize disasters while also helping in mitigation planning and designing rescue tactics. Artificial Intelligence technologies, especially deep neural networks, have emerged recently with promises to detect fires with better accuracy from an image. However, the massive energy consumption of deep neural networks thwarts their widespread adoption, especially when it comes to onsite detection of fire utilizing …


Gis-Based Spatial And Temporal Analyses Of Motor Vehicle Crashes In The Atlanta Metropolitan Region 2017-2021, Heyward Stober, Jeong C. Seong Feb 2024

Gis-Based Spatial And Temporal Analyses Of Motor Vehicle Crashes In The Atlanta Metropolitan Region 2017-2021, Heyward Stober, Jeong C. Seong

The Geographical Bulletin

Motor vehicle crash analysis is among the most insightful metrics for public safety officials, researchers, and drivers. In this article, geographical information systems (GIS) tools were used to study the spatial and temporal trends of traffic crashes and fatal crashes. The methodology involves collecting spatial crash data over time and using computer-based analysis to overlay the road data against various spatial and temporal parameters in the Atlanta metropolitan region. Results show major crash hotspots in the region, such as the cites of Marietta, Kennesaw, and College Park. Hotspots tend to form on interstate highways, while smaller state highways have fewer …


Recovery Of Microtopography Following Prairie Restoration: Implications For Biodiversity Monitoring, Karli Cich, Scott Powell Feb 2024

Recovery Of Microtopography Following Prairie Restoration: Implications For Biodiversity Monitoring, Karli Cich, Scott Powell

The Geographical Bulletin

Tallgrass prairies are often restored from agricultural fields where the natural microtopography has long since been removed. Therefore, our study investigates the degree to which restored prairies recover microtopography. Differences in microtopography were measured using precise elevation data collected from LiDAR to compare differences in microtopography between crop fields, fallow fields, newer restored prairies, and older restored prairies. We also compared plant biodiversity indices between newer and older restored prairies using nested plot vegetation sampling. Our first research question is how microtopography differs between the sites. Our results show that older restored prairies had the most microtopographic variation, followed by …


Modeling The Impact Of Ocean Temperature Increases On The Distribution Of Seagrasses Around The Korean Peninsula Using A Machine Learning Technique, Jina Jang, Seohyeon Kim, Jeong Seong Feb 2024

Modeling The Impact Of Ocean Temperature Increases On The Distribution Of Seagrasses Around The Korean Peninsula Using A Machine Learning Technique, Jina Jang, Seohyeon Kim, Jeong Seong

The Geographical Bulletin

Seagrasses are important resources which form a vital part of the ocean ecosystem. They are also considered blue carbon because of their capability of sequestrating carbon. Seagrass distribution can be affected by many factors including ocean temperature. It is highly likely that recent climate change may increase ocean temperature significantly in East Asia and consequently alter seagrass distribution patterns. This study aims at predicting the impact of ocean temperature increases on seagrass habitats around the Korean Peninsula. Using the Maximum Entropy (MaxEnt) Model, seagrass habitat distributions were modeled when sea temperature rises by 1°C, 2°C, 3°C, and 4°C. Results show …


Predicting Cloud Fraction With Instantaneous Direct And Diffuse Shortwave Solar Irradiance, Jamison Lerma, Emily K. Blackaby, Maosi Chen, Sasha Madronich, Wei Gao Feb 2024

Predicting Cloud Fraction With Instantaneous Direct And Diffuse Shortwave Solar Irradiance, Jamison Lerma, Emily K. Blackaby, Maosi Chen, Sasha Madronich, Wei Gao

The Geographical Bulletin

The purpose of this study is to compare the different performances of three commonly used models (i.e., linear regression, random forest regression, and deep neural network (DNN)) to predict cloud fraction (CF) using ground-based shortwave solar radiation measurements and analyze the importance of the input features. The CF data are obtained from the Surface Radiation Budget (SURFRAD) and the Atmospheric Radiation Measurement (ARM) and the irradiance data from the USDA UV-B Monitoring and Research Program. The study finds that CF of opaque and total clouds can be best predicted using both Random Forest Regression and DNN with the validation R2 …


Prediction Of Traffic Congestion Using A Time-Series Model And Spatiotemporal Data: A Case Study Of The Atlanta Downtown Connector, Yunsik Kim Feb 2024

Prediction Of Traffic Congestion Using A Time-Series Model And Spatiotemporal Data: A Case Study Of The Atlanta Downtown Connector, Yunsik Kim

The Geographical Bulletin

Traffic congestion poses significant socio-economic challenges, and many urban commuters experience time and cost burdens due to traffic jams. Effectively managing and predicting traffic congestion is crucial for contemporary urban planning and operations. This study aims to predict congestion using time-series deep learning models, focusing on a chronically congested road section. The research area is the Atlanta Downtown Connector, a heavily trafficked route passing through the heart of the city of Atlanta. To address issues often associated with sensor and GPS-based data collection, traffic data was obtained from an open-source online map service, Google Maps. A multivariate time-lagged LSTM model …


A Remote Sensing Investigation Of The 2022 Invasion Of Eastern Ukraine On Agricultural Landcover, Michael S. Agbozo, Luke J. Marzen, Chandana Mitra Feb 2024

A Remote Sensing Investigation Of The 2022 Invasion Of Eastern Ukraine On Agricultural Landcover, Michael S. Agbozo, Luke J. Marzen, Chandana Mitra

The Geographical Bulletin

Ukraine-Russian political relations over the years have alternatively experienced periods of tranquility and turmoil with violent conflicts since 1917, including the events of the 2014 annexation of Crimea and the 2022 Russian invasion of the entirety of Ukraine. These conflicts remain developmental threats and their assessment requires multi-perspective analysis. Understanding the spatial dimensions of such conflicts and their consequences on physical and social spaces at varying scales could provide credible scientific impetuses on which targeted post-conflict remediations could be built. This preliminary study therefore takes advantage of the capabilities of satellite remote sensing, to provide quick and effective spatiotemporal analysis …


Open-Source Based Change Pattern Analysis Of Urban Green Spaces Using Landscape Metrics, Mohammad Anwar Alattar Feb 2024

Open-Source Based Change Pattern Analysis Of Urban Green Spaces Using Landscape Metrics, Mohammad Anwar Alattar

The Geographical Bulletin

A growing number of studies have been conducted on urban green spaces (UGSs), given their essential role in mitigating urbanization externalities. The current available methods for acquiring and analyzing UGSs data suffer from several limitations. For example, free satellite imagery exhibits pixel distortion and fails to account for fine-grained structure such as accurate geometry or size. Moreover, official UGSs datasets are typically updated periodically, not continuously. This work provides a Python-derived open-source based analysis for acquiring, modeling and analyzing UGSs change patterns using landscape metrics. To demonstrate the feasibility of the proposed approach, it is applied on the New York …


Evaluating The Use Of Unpiloted Aerial Systems To Detect And Monitor Beech Bark Disease In New England Forests, Isabelle Lopez, Benjamin T. Fraser, Russell G. Congalton Feb 2024

Evaluating The Use Of Unpiloted Aerial Systems To Detect And Monitor Beech Bark Disease In New England Forests, Isabelle Lopez, Benjamin T. Fraser, Russell G. Congalton

The Geographical Bulletin

The American beech (Fagus grandifolia) plays a key role throughout eastern North American forests. However, beech bark disease (BBD) causes widespread mortality of beech trees. We investigated whether imagery collected using an unpiloted aerial system (UAS) could differentiate beech tree health. Reference data were collected from 140 beech trees in New Hampshire and were visually classified as having “no/trace damage,” “moderate damage,” or “heavy damage.” Multispectral imagery was collected from a UAS, and 44 image features were derived for each beech crown. We used machine learning to identify the importance of each feature in distinguishing between the three health classes …


High-Mountain Hazards In The Indian Himalaya: An Assessment Of The Causes And Effects Of The Chamoli Flood In 2021, Christina M. Salzmann, Sarah J. Halvorson, Anna E. Klene Feb 2024

High-Mountain Hazards In The Indian Himalaya: An Assessment Of The Causes And Effects Of The Chamoli Flood In 2021, Christina M. Salzmann, Sarah J. Halvorson, Anna E. Klene

The Geographical Bulletin

On 7 February 2021, a devastating flood severely impacted the Ronti Gad, Rishiganga, and Dhauliganga River Valleys in the northwestern District of Chamoli, India. The flood washed away two hydropower projects and caused more than 200 fatalities. This study assessed some of the causes and effects of this catastrophic flood event and aims to provide further documentation that the event was not caused by a glacial lake outburst flood, as many reports initially indicated. Analysis of high-resolution satellite imagery, digital elevation model (DEM) differencing, and precipitation and temperature data showed that an ice-rock avalanche was released as a result of …


Editors' Note, Jc Seong Feb 2024

Editors' Note, Jc Seong

The Geographical Bulletin

Editors' Note


Volume 64-2 Complete Issue, Nancy Hoalst Pullen Feb 2024

Volume 64-2 Complete Issue, Nancy Hoalst Pullen

The Geographical Bulletin

Complete Issue


Front Matters, Nancy Hoalst Pullen Feb 2024

Front Matters, Nancy Hoalst Pullen

The Geographical Bulletin

Front Matter


Cover, Foreword, Editor's Notes, Casey D. Allen Jan 2024

Cover, Foreword, Editor's Notes, Casey D. Allen

The Geographical Bulletin

Cover, Foreword, Editor's Notes


Volume 63-2 Full Issue, Casey D. Allen Jan 2024

Volume 63-2 Full Issue, Casey D. Allen

The Geographical Bulletin

The complete issue


Reflecting On Interdisciplinary Trends In Artificial Reef Design, Monitoring, And Assessment In The Us Southeast: Insight From Recent Developments And Hope In The Restoring Resilient Reefs Act, Johnathan D. Johnson, Clayton J. Whitesides Jan 2024

Reflecting On Interdisciplinary Trends In Artificial Reef Design, Monitoring, And Assessment In The Us Southeast: Insight From Recent Developments And Hope In The Restoring Resilient Reefs Act, Johnathan D. Johnson, Clayton J. Whitesides

The Geographical Bulletin

Geographical Essay