Geography Commons^™

Evaluating Behavioral Intention To Increase Classroom Geotechnology Usage Following Geoinquiry Implementation, Erika S. Klose

Theses, Dissertations and Capstones

As educational practices include foundational and cutting-edge preparation, the value of problem-based instruction employing industry-standard technologies increases. Geospatial technologies (GST), are a group of professional technologies, including GIS (Geographic Information Systems), used by industries to make informed decisions with spatial data. This study investigated educator behavioral intention to use GIS/GST in classroom practice, and the moderating effect, if any, of the GeoInquiry, a curricular resource. The UTAUT framework was employed to evaluate and quantify the factors impacting behavioral intention (performance expectancy, effort expectancy, social influence, and facilitating conditions). These data were examined to identify moderation by GeoInquiry usage. One hundred …

An Investigation Of Food System Localization Efforts In New York Municipalities: Projects, Practices And Policies, April Roggio, Beomgeun Cho, Luis Luna-Reyes, Jason R. Evans, Eliot Rich, Alexander Buyantuev

Public Administration and Policy Faculty Scholarship

This document is a component of a research project funded by the New York State Health Foundation from January 2022 to May 2023. The overall project goal was to better understand how we design and sustain resilient local food systems in New York from the perspective of elected officials. The project used three different data collection methods, interviews, a survey and spatial analysis. This document reports on the interview component of the project.

These are the main highlights from the interviews.

• Interviews were conducted primarily between February 2022 and July 2023, and included 38 full length conversations with town supervisors …

Developing A Standardized Gis Model Capable Of Identifying Areas To Implement Wind Power Generation Infrastructure, Namidu Vishwanath De Silva

All Graduate Theses, Dissertations, and Other Capstone Projects

This project involves the use of multi-source GIS data, suitability analysis, and spatial modeling techniques to identify the most suitable areas for improving renewable energy infrastructures, primarily focusing on wind energy, within a given region. Previous literature conducted on the subject matter shows research being done in isolated areas or states. The primary objective of this project is to develop a GIS model and scripting tool that has the capability to test any input region to find the most suitable area within the given region that would be ideal for implementing new wind power infrastructure. The success rate of the …

Exploring Inequality At Copan, Honduras: A 2d And 3d Geospatial Comparison Of Household Wealth, Heather Richards-Rissetto

Department of Anthropology: Faculty Publications

The archaeological site of Copan was a cultural and commercial crossroads at the southeastern Maya frontier. Research indicates that the demographics and sociopolitical circumstances of the city of Copan and its location within a circumscribed pocket (24 km²) of the larger Copan Valley varied through time. These circumstances not only influenced its social, political, and economic interactions, but likely the size, construction, and organization of households, specifically plazuelas. Copan’s plazuelas differ from those located in other Maya regions because they often have smaller house platforms, comprise more than a single patio, and exhibit a larger than normal …

Mapping Landcover Change And Population Displacement Of Lakshmipur District, Bangladesh Due To Riverbank Erosion From 2001-2021: A Geospatial Approach, Israt Jahan

College of Graduate Studies: Theses & Dissertations

Due to the geographical setting, the Lakshmipur district of Bangladesh experiences adverse effects of global climate change that include but are not limited to natural disasters such as tropical cyclones, storm surges, coastal flooding, and riverbank erosion. While riverbank erosion is an implicit impact of climate change, it directly affects human settlements, agricultural activity, and the overall livelihoods of people in this area. Examining the spatiotemporal changes in land cover and population due to riverbank erosion in this region could help us better understand the dynamics of human-environmental relations. This study aimed to classify land cover for every five years …

Delineating A Stream Network At Gale Crater, Mars, On Arcgis Pro: A Geographic Information Systems Approach, Elpidio Guzman De La Cruz

West Chester University Master’s Theses

The northwestern region of the Gale crater experienced flooding in the past. Delineation of stream networks for the northwestern region of Gale Crater, Mars employing geographic information systems (GIS) techniques is applied. The stream network produced by the algorithm in the study traverses the clay unit in Gediz Vallis, and visual HiRISE imagery analysis correlates with a topologic cross section of an inverted river channel of 750 meters wide and 90 meters deep. HiRISE imagery analysis further confirms a sulfate and clay stratigraphic unit in a stream 125 meters wide and 25 meters deep. Lastly, data smoothing procedures in the …

Monitoring Bull Kelp (Nereocystis Leutkeana) Remotely At High Resolutions, Hannah E. Joss

Cal Poly Humboldt theses and projects

Bull kelp (Nereocystis leutkeana) is a foundational seaweed in nearshore, marine systems, traditionally supporting economically important fisheries, extracting nutrients in its vicinity, and sequestering carbon and transporting it great distances to subsidize shallow and deep-sea environments. Bull kelp is also a culturally important species for some indigenous peoples along the northeastern Pacific coastline and provides a harvestable product with growing demand. Global trends in kelp distribution show patterns of decline, and the immense loss of northern California bull kelp forests in response to climatic changes have highlighted the need for alternative sources of kelp, both for the product …

The Impact Of Subjective Risk Analysis On Real Estate Prices In The Nisqually Region Following The 2001 Nisqually Earthquake, Ryan Espedal

All Master's Theses

Earthquakes are an environmental hazard that pose great risks to communities almost every day. With earthquakes, the main cause of concern is physical destruction of property, however, there are also psychological effects that are researched and discussed much less. In 2001, the Nisqually area of western Washington experienced a substantial earthquake that produced minimal physical damage but caused a significant decrease in real estate prices. Studying single-family homes from 1986-2012, this research utilizes hedonic property models to measure the change in consumer’s subjective risk calculations with reference to real estate purchases after the Nisqually earthquake, measure the relationship between earthquake …

Carnivore And Ungulate Occurrence In A Fire-Prone Region, Sara J. Moriarty-Graves

Cal Poly Humboldt theses and projects

Increasing fire size and severity in the western United States causes changes to ecosystems, species’ habitat use, and interspecific interactions. Wide-ranging carnivore and ungulate mammalian species and their interactions may be influenced by an increase in fire activity in northern California. Depending on the fire characteristics, ungulates may benefit from burned habitat due to an increase in forage availability, while carnivore species may be differentially impacted, but ultimately driven by bottom-up processes from a shift in prey availability. I used a three-step approach to estimate the single-species occupancy of four large mammal species: mountain lion (Puma concolor), coyote …

Disaster Risk Assessment In The Context Of Social Justice Using Geospatial Data Analytics, Behrang Bidadian

Graduate Theses, Dissertations, and Problem Reports (ETD)

Disaster Risk Assessment in the Context of Social Justice Using Geospatial Data Analytics

Behrang Bidadian

In recent decades, urban areas have witnessed a rise in floods which have posed a significant threat to human life and wealth, due to the effects of global warming. While researchers have conducted extensive studies on natural disaster risk focusing on components such as hazard, exposure, and vulnerability, certain aspects of this field have remained inadequately understood. To fulfill this need, the primary objective of this dissertation was to enhance our understanding of flood risk in urban areas, considering it a crucial example of natural …

Quantifying The Carbon Stored And Sequestered By The Trees On Pomona College’S Campus, Paola A. Giron-Carson

Scripps Senior Theses

We are experiencing a climate crisis that must be confronted with strategic mitigation. Pomona College contributes to the climate crisis through its emissions for which there is a baseline record. However there is no baseline record of the climate mitigation currently performed by the trees on Pomona’s campus through carbon storage. This study seeks to determine a current baseline quantity of carbon stored and sequestrated by Pomona’s trees as well as possible courses of climate mitigation for Pomona College to take. Initial information gathering was conducted through interviews with several stakeholders. This study was conducted using data collected prior to …

Black Businesses Matter: A Longitudinal Study Of Black-Owned Restaurants In The Covid-19 Pandemic Using Geospatial Big Data, Xiao Huang, Xiaoqi Bao, Zhenlong Li, Shaozeng Zhang, Bo Zhao

Geosciences Faculty Publications and Presentations

Black communities in the United States have been disproportionately affected by the COVID-19 pandemic; however, few empirical studies have been conducted to examine the conditions of Black-owned businesses in the United States during this challenging time. In this article, we assess the circumstances of Black-owned restaurants during the entire year of 2020 through a longitudinal quantitative analysis of restaurant patronage. Using multiple sources of geospatial big data, the analysis reveals that most Black-owned restaurants in this study are disproportionately affected by the COVID-19 pandemic among different cities in the United States over time. The finding reveals the need for a …

Using Extended Two-Step Floating Catchment Area To Map Children’S Level Of Access To Physical Books In West Virginia, Heather A. Maxey

Graduate Theses, Dissertations, and Problem Reports (ETD)

The state of West Virginia lacked a comprehensive, in-depth analysis of the availability of physical books across the state. Access to reading material is vital to a child’s educational development as well as lifelong learning beyond childhood. To guide policy decisions and planning for outreach which addresses reading levels and beyond, I mapped levels of access stemming from socioeconomic barriers, spatial barriers, and an integrated index of both types of barriers. To map spatial access, I utilized a modified Extended Two-Step Floating Catchment Area model, deriving techniques from Hong et al’s 2023 article addressing access for health care in WV. …

Distributed Energy Infrastructure Development: Geospatial & Economic Feasibility In Rural West Virginia, Xinming Andy Zhang

Graduate Theses, Dissertations, and Problem Reports (ETD)

Energy transition from conventional to centralized power plants, including coal-fired units, is critical for West Virginia’s long-term energy and economic future. The socioeconomic downturn in West Virginia was deeply connected with the dependence on the centralized coal industry and the coal economy. Most traditional coal communities in rural West Virginia struggle to maintain economic viability, potentially leading to outmigrations and poor energy resilience. I investigated the possibility of introducing community-sized distributed energy systems in these rural communities to improve energy resilience and accommodate the future transition from centralized coal-generated energy.

My goal was to identify rural regions where distributed energy …

Correlation Of Road Network Structure And Urban Mobility Intensity: An Exploratory Study Using Geo-Tagged Tweets, Li Geng, Ke Zhang

Publications and Research

Urban planners have been long interested in understanding how urban structure and activities are mutually influenced. Human mobility and economic activities naturally drive the formation of road network structure and the accessibility of the latter shapes the patterns of movement flow across urban space. In this paper, we perform an exploratory study on the relationship between the street network structure and the intensity of human movement in urban areas. We focus on two cities and we utilize a dataset of geo-tagged tweets that can form a proxy to urban mobility and the corresponding street networks as obtained from OpenStreetMap. We …

A Subspecies-Level Database Of Amazonian Bird Distributions, With Inferences On Suture Zones And Conservation, Marco Antonio Rego

LSU Doctoral Dissertations

Amazonia has the largest and most biodiverse tropical forest on the planet. However, the distributions of its species are still poorly understood, even for well-studied vertebrates such as birds. Available distribution maps for Amazonian birds often lack accuracy in delimiting the area where species occur. Existing distributional information for Amazonian birds is often limited to species-level level taxonomy, even though many Amazonian bird subspecies represent biological species. Here, I investigate the geographic distributions of 4,148 bird taxa (species and subspecies) using museum scientific specimens as the primary source of data. To build the data base I use more than 600,000 …

A Multi-Method Exploration Of Health Disparities And Covid-19 Incidence And Mortality In The United States, S M Asger Ali

Theses and Dissertations

The 21^st century experienced several health crises, especially in the form of infectious disease outbreaks such as the SARS outbreak in 2003, the H1N1 in 2009, and Ebola outbreaks in 2013. However, none has produced a worldwide socio-economic and health impact compared to the recent pandemic, known as COVID-19. As of October 4, 2022, more than 614 million cases with 6 million deaths have been reported worldwide. The United States is currently in the leading position with more than 98 million cases and 1 million deaths. The pandemic, however, did not impact the entire region similarly, and the infections …

Lidar Field Data Collection For 3d Cartography, Danny Jang

Symposium of Student Scholars

Remote sensing using LiDAR technology for terrestrial mapping can be done using airborne or ground-based methods. Ground-based methods of LiDAR scanning have the favorable advantage of being much more cost-effective compared to the majority of aerial choices (balloons and drones might overcome this advantage in the future) for small-area large-scale cartography. LiDAR data collection has been traditionally utilized for urban applications, forest applications, agricultural applications, and geoscience applications. This student research aims to use the data gathered from this process for crafting 3D maps using cost-effective 3D printers.

Species Data And Vector Modeling: Evaluating Datasets For Improved Models Of Ixodes Ricinus Tick Distribution In Europe Under A Changing Climate, Steven Jones

Electronic Theses and Dissertations

To increase capacity for monitoring and surveillance of tick-borne diseases, publicly available tick distribution and climate change datasets are required to create accurate predictive distribution models. It is difficult, however, to assess model accuracy and utility when using incomplete datasets.  The more recent development of comprehensive tick databases for Europe and availability of climate change scenarios from multiple IPCC Assessment Reports allows for improved modeling efforts. Multiple tick datasets were combined and three climate change projections were compared by predicting current and future distributions of Ixodes ricinus ticks in Europe using the MaxEnt species distribution model. Overall, much of Europe …

Learning From Public Spaces In Historic Cities, Cody Josh Kucharski

Symposium of Student Scholars

Successful public spaces in cities are key for enhancing social cohesion and improving health and safety. Learning from historic cities involves the development of representational and analytical tools aimed at capturing their essence as places of human interaction. The research reports findings of the spatial analysis of twenty Adriatic and Ionian coastal cities, which addresses the question of how the network of public spaces calibrates different degrees of spatial enclosure necessary for creating successful social interactions. Cities in the littoral region include well-preserved historic centers that are renowned for the successful integration of urban squares into the urban fabric. For …

Estimation Of Economic Risk From Coastal Natural Hazards In Louisiana, Rubayet Bin Mostafiz

LSU Doctoral Dissertations

Louisiana, U.S.A., is among the most vulnerable areas globally to coastal natural hazards, with risk vulnerability likely increasing. The risks associated with non-tropical-cyclone hazards in Louisiana’s coastal zone have been understudied. This research enhances present and future (i.e., 2050) Louisiana risk assessment using locally-weighted, model-based hazard frequency/intensity and population projections.

Results suggest that property risks associated with extreme cold temperature and tornado are and will remain costlier than those for hail and lightning. Property risks of extreme cold temperature and hail are projected to decrease with the expected warming temperatures, with those of all four of these hazards peaking in …

Ancient Lowland Maya Neighborhoods: Average Nearest Neighbor Analysis And Kernel Density Models, Environments, And Urban Scale, Amy E. Thompson, John P. Walden, Adrian Z. Chase, Scott R. Hutson, Damien Marken, Bernadette Cap, Eric Fries, M. Rodrigo Guzman Piedrasanta, Timothy S. Hare, Sherman W. Horn Iii, George J. Micheletti, Shane M. Montgomery, Jessica Munson, Heather Richards-Rissetto, Kyle Shaw-Müller, Traci Ardren, Jaime J. Awe, M. Kathryn Brown, Michael Callaghan, Claire E. Ebert, Anabel Ford, Rafael A. Guerra, Julie A. Hoggarth, Brigitte Kovacevich, John M. Morris, Holley Moyes, Terry G. Powis, Jason Yaeger, Brett A. Houk, Keith M. Prufer, Arlen F. Chase, Diane Z. Chase

Department of Anthropology: Faculty Publications

Many humans live in large, complex political centers, composed of multi-scalar communities including neighborhoods and districts. Both today and in the past, neighborhoods form a fundamental part of cities and are defined by their spatial, architectural, and material elements. Neighborhoods existed in ancient centers of various scales, and multiple methods have been employed to identify ancient neighborhoods in archaeological contexts. However, the use of different methods for neighborhood identification within the same spatiotemporal setting results in challenges for comparisons within and between ancient societies. Here, we focus on using a single method—combining Average Nearest Neighbor (ANN) and Kernel Density (KD) …

Participatory Mapping To Address Neighborhood Level Data Deficiencies For Food Security Assessment In Southeastern Virginia, Usa, Nicole S. Hutton, George Mcleod, Thomas R. Allen, Christopher Davis, Alexander Garnand, Heather Richter, Prachi P. Chaven, Leslie Hoglund, Jill Comess, Matthew Herman, Brian Martin, Cynthia Romero

Political Science & Geography Faculty Publications

Background: Food is not equitably available. Deficiencies and generalizations limit national datasets, food security assessments, and interventions. Additional neighborhood level studies are needed to develop a scalable and transferable process to complement national and internationally comparative data sets with timely, granular, nuanced data. Participatory geographic information systems (PGIS) offer a means to address these issues by digitizing local knowledge.

Methods: The objectives of this study were two-fold: (i) identify granular locations missing from food source and risk datasets and (ii) examine the relation between the spatial, socio-economic, and agency contributors to food security. Twenty-nine subject matter experts from three cities …

Hydrological Drought Forecasting Using A Deep Transformer Model, Amobichukwu C. Amanambu, Joann Mossa, Yin-Hsuen Chen

University Administration Publications

Hydrological drought forecasting is essential for effective water resource management planning. Innovations in computer science and artificial intelligence (AI) have been incorporated into Earth science research domains to improve predictive performance for water resource planning and disaster management. Forecasting of future hydrological drought can assist with mitigation strategies for various stakeholders. This study uses the transformer deep learning model to forecast hydrological drought, with a benchmark comparison with the long short-term memory (LSTM) model. These models were applied to the Apalachicola River, Florida, with two gauging stations located at Chattahoochee and Blountstown. Daily stage-height data from the period 1928–2022 were …

Acid Mine Drainage In The Shamokin Creek Watershed: A Spatial Analysis Of Economic And Environmental Consequences Of Coal Mining, Ben Shimer

Student Project Reports

No abstract provided.

Expulsive Greening: A Cross-Sectional Analysis Of Green Gentrification In The Resilience Paradigm, Brooklyn 2010–2020, Rose Jimenez

Dissertations, Theses, and Capstone Projects

Background: This project analyzes the spatial coincidence between gentrification typologies and urban greening in Brooklyn, New York from 2010 to 2020. Assets formed under the NYC Green Infrastructure Program were chosen as a proxy for urban greening to represent the spatial practice specifically within the 21st-century climate change resilience paradigm of development. Methods: First, five indexes measuring variations of economic and demographic conditions related to gentrification were applied to Brooklyn for comparative analysis: NOAA’s Social Vulnerability Indicators of Gentrification Pressure, The NYC Heat Vulnerability Index, The Small Area Index of Gentrification, Typologies of Gentrification and Displacement, and The Housing Risk …

Forecasted Climate Analysis From 2000 To 2100 Using Rcp 4.5 And Rcp 8.5 Model Scenario As A Hazard Early-Warning System In Prague City, Czech Republic, Risty Khoirunisa

Smart City

In the last decades, the increasing number of populations in urban areas is dramatically increased. According to the to the 2018 Revision of World Urbanization Prospects more people live in urban areas, around 55 percent of the world’s population in 2018 and are projected into two thirds of global population in 2050. As the world continues to growth, the lands need to be converted thus deforestation happen. If this continues, the greenhouse gas emission will increase and the climate change will become a threat in the future. Therefore, it become essential to understand how the climate will change in the …

Park Equity Modeling: A Case Study Of Asheville, North Carolina, Anisa Young

All Theses

Parks and greenspaces are publicly available entities that serve the vital purpose of promoting multiple aspects of human welfare. Unfortunately, the existence of park disparities is commonplace within the park setting. Specifically, marginalized individuals encounter limited park access, insufficient amenity provision, and poor maintenance. To remedy these disparities, we propose a process in which we select candidate park facilities and utilize facility location models to determine the optimal primary parks from both existing and candidate sites.

We note that platforms currently exist to identify the geographical areas where residents lack sufficient access to parks. However, these platforms do not yet …

Gis Automated Delineation And Analysis Of Cancer Service Areas In The United States, Changzhen Wang

LSU Doctoral Dissertations

Delineating a meaningful and reliable geographic unit pertaining to cancer care is essential in examining geographic variations in cancer care for better analysis, management, and planning. Public health researchers have devoted great efforts to defining various service areas, which; however, lack scientific rigor or are unrepresentative of the highly specialized cancer care markets, and their methods have become obsolete in the era of big data and high geo-computation. This study develops the “Spatially Constrained Leiden (ScLeiden)” method, a network community detection algorithm in Geographic Information Systems (GIS), and applies it to delineate a series of coherent cancer service …

Differentiating Fissure-Fed Lava Flow Types And Facies Using Radar And Lidar: An Example From The 2014–2015 Holuhraun Lava Flow-Field, Gavin Douglas Tolometti, Catherine D. Neish, Christopher W. Hamilton, Gordon R. Osinski, Antero Kukko, Joana R.C. Voigt

Earth Sciences Publications

Distinguishing between lava types and facies using remote sensing data is important for interpreting the emplacement history of lava flow-fields on Earth and other planetary bodies. Lava facies typically include a mixture of lava types and record the collective emplacement history of material preserved at a particular location. We seek to determine if lava facies in the 2014–2015 Holuhraun lava flow-field are discernible using radar roughness analysis. Furthermore, we also seek to distinguish between lava types using high resolution Light Detection and Ranging (LiDAR) data. We extracted circular polarization ratios (CPR) from the Uninhabited Aerial Vehicle Synthetic Aperture Radar and …