Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Cal Poly Humboldt (62)
- South Dakota State University (41)
- City University of New York (CUNY) (32)
- University of Arkansas, Fayetteville (28)
- University of Denver (27)
-
- Louisiana State University (24)
- University of Nebraska - Lincoln (22)
- Michigan Technological University (18)
- West Virginia University (17)
- Old Dominion University (15)
- University of Kentucky (15)
- Clark University (14)
- Stephen F. Austin State University (13)
- Universitas Negeri Malang (12)
- University of New Mexico (12)
- Central Washington University (11)
- East Tennessee State University (11)
- Western Michigan University (11)
- Portland State University (10)
- Purdue University (10)
- The University of Southern Mississippi (10)
- Universitas Indonesia (10)
- Augustana College (8)
- Kennesaw State University (8)
- Missouri State University (8)
- University of Louisville (8)
- University of Montana (8)
- Georgia Southern University (7)
- Minnesota State University, Mankato (6)
- Wilfrid Laurier University (6)
- Keyword
-
- GIS (70)
- College of Natural Science and Mathematics (27)
- Remote sensing (27)
- Geography and the Environment (25)
- Spatial analysis (21)
-
- Remote Sensing (17)
- Geography (12)
- Landsat (11)
- Photogrammetry (11)
- LiDAR (10)
- Michigan Tech Research Institute (10)
- Accessibility (9)
- Geospatial (9)
- Agriculture (8)
- Archaeology (8)
- Climate change (8)
- Geographic information systems (7)
- Spatial Analysis (7)
- Spatial science (7)
- Transportation (7)
- UAV (7)
- Drought (6)
- Gentrification (6)
- Geographic Information Systems (GIS) (6)
- Machine Learning (6)
- Mapping (6)
- Migration (6)
- Planning (6)
- Spatial (6)
- ArcGIS (5)
- Publication Year
- Publication
-
- Humboldt Geographic (58)
- Electronic Theses and Dissertations (29)
- Graduate Theses and Dissertations (25)
- GSCE Faculty Publications (23)
- Geography and the Environment: Graduate Student Capstones (23)
-
- Theses and Dissertations (21)
- Graduate Theses, Dissertations, and Problem Reports (ETD) (17)
- LSU Doctoral Dissertations (16)
- Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi (12)
- Sustainability and Social Justice (12)
- Masters Theses (11)
- Michigan Tech Publications, Part 1 (11)
- Faculty Publications (10)
- Department of Anthropology: Faculty Publications (8)
- Dissertations, Theses, and Capstone Projects (8)
- Graduate Student Theses, Dissertations, & Professional Papers (8)
- Graduate Theses/Dissertations (8)
- Publications and Research (8)
- Symposium of Student Scholars (8)
- All Master's Theses (7)
- I-GUIDE Forum (7)
- LSU Master's Theses (7)
- All Graduate Theses, Dissertations, and Other Capstone Projects (6)
- College of Graduate Studies: Theses & Dissertations (6)
- Dissertations and Theses (6)
- Dissertations, Master's Theses and Master's Reports (6)
- Natural Resource Management Faculty Publications (6)
- Theses and Dissertations (Comprehensive) (6)
- Dissertations (5)
- Geography ETDs (5)
- Publication Type
- File Type
Articles 121 - 150 of 649
Full-Text Articles in Geography
Assessment Of Spatial Distribution Patterns And Infestation Risk Over Time Of Spotted Lanterfly (Lycorma Delicatula) In New York State, Alanna Richman
Assessment Of Spatial Distribution Patterns And Infestation Risk Over Time Of Spotted Lanterfly (Lycorma Delicatula) In New York State, Alanna Richman
Electronic Theses & Dissertations (2024 - present)
Spotted Lanternfly (Lycorma delicatula) is an invasive treehopper native to Asia. It was first introduced to Pennsylvania in 2014, and as of 2020 it has expanded to New York state. Their preferred host tree is the invasive tree of heaven (Ailanthus altissima), but they will feed on over 173 different plants worldwide. Preferred host species in New York state include agricultural vegetation such as grape vines and fruit trees. Positive Spotted Lanternfly site data collected by the New York Department of Agriculture and Markets and iMapInvasives were analyzed using ArcGIS Pro to assess spatial distribution patterns. …
Investigating Flash Flood Occurrence Using Negative Binomial Models In Maryland, United States Of America, Zainab O. Akinsemoyin
Investigating Flash Flood Occurrence Using Negative Binomial Models In Maryland, United States Of America, Zainab O. Akinsemoyin
College of Graduate Studies: Theses & Dissertations
Globally, as extreme weather patterns intensify, flash floods have emerged as one of the most destructive and immediate environmental threats. In Maryland, flash floods are particularly concerning due to its diverse topography and increasing urban development, which exacerbates runoff and overwhelms drainage systems. The state has experienced significant flash flood events, highlighting the need for effective models to manage risks and inform mitigation strategies. While regression models such as the Negative Binomial (NB) and Zero-Inflated Negative Binomial (ZINB) are commonly used for count data analysis, their application to flash flood modeling in the USA, including regions like Maryland, remains limited …
Road Extraction On Remote Sensing Imagery: Historical Mapping Of The Brazilian Amazon, Jonas Paiva Botelho Jr
Road Extraction On Remote Sensing Imagery: Historical Mapping Of The Brazilian Amazon, Jonas Paiva Botelho Jr
Graduate Theses/Dissertations
This work proposes an artificial intelligence model based on U-Net architecture to map road networks in the Brazilian Amazon. Over the years, the Amazon region has been heavily exploited, leading to increased deforestation rates, contributing to CO2 emissions, amplifying global warming, and causing a disturbance in local fauna and flora. The expansion into the forest by illegal miners, loggers, and land grabbers can be tracked down by the construction of roads, which we can refer to as the arteries of deforestation. Previous works on the matter proposed algorithms that use high-resolution imagery to map roads precisely. However, this work approach …
A Tale Of Two Working Landscapes, Sage C. Sutcliffe
A Tale Of Two Working Landscapes, Sage C. Sutcliffe
Graduate Student Theses, Dissertations, & Professional Papers
No abstract provided.
Airbnb Valuation: A Machine Learning Approach, Katherine Wyatt
Airbnb Valuation: A Machine Learning Approach, Katherine Wyatt
Graduate Theses and Dissertations
This thesis uses a geospatially-enhanced, machine learning approach to investigate variations in rental success on the peer-to-peer property sharing website Airbnb.com. Geographic factors, listing attributes and amenities, customer response metrics, and host attributes are included in decision tree modeling to predict the short-term probability of receiving a review. The most important variables in increasing model accuracy are assessed and variations in the importance of these variables investigated using Shapley values.
Modeling The Peak Ground Acceleration And Assessing The Economic Loss And Casualty Due To Potential Earthquakes Of Various Magnitudes In The New Madrid Seismic Zone, Mahmud Afroz
Graduate Theses and Dissertations
The New Madrid Seismic Zone (NMSZ) is one of the active tectonic zones capable of producing big earthquakes in the southcentral USA. The objective of this study was to assess the economic losses and casualties that might be caused by various magnitudes of seismic events in the NMSZ. The manifestation is the estimation for each magnitude which is using the Peak Ground Acceleration (PGA) that might occur during an earthquake. It is calculated using an attenuation function that correlates the intensity of local ground movement, the earthquake magnitude, and the distance from its epicenter. The assessment of casualties was conducted …
Development Of A Historic Digital Elevation Model (Hdem) From Archival Aerial Imagery Over The Black Mountain Alluvial Fan, Canada, Emma Menio
Graduate Theses and Dissertations
In a rapidly changing Arctic, reconstructing landscapes pre-warming is essential to understanding impacts due to climate-inducted geomorphic change. High-latitude elevation datasets extend temporally back to the 2000s, while region-wide warming became measurable in the 1980s. Historic aerial imagery archives provide datasets of high-resolution imagery from the mid- to late- 1900s with stereo-capability that can be harnessed to create historic digital elevation models, or hDEMs. A major issue with reconstructing a surface from the past is finding a way to constrain it in space, given a lack of ground control from that era, especially at high latitudes. The main purpose of …
Age, Size, And Composition Of Selected Old-Growth Shortleaf Pine Stands In The Upper Buffalo River, Arkansas, Willa Avery Thomason
Age, Size, And Composition Of Selected Old-Growth Shortleaf Pine Stands In The Upper Buffalo River, Arkansas, Willa Avery Thomason
Graduate Theses and Dissertations
Shortleaf pine (Pinus echinata) approaches the westernmost limits of its range in the Arkansas Ozarks. Despite heavy logging of shortleaf pine throughout its range during the 19th and 20th centuries, the species was not easily accessible for harvest and transportation in the most rugged areas of the Boston Mountains and, as a result, there are a few extant stands of old-growth shortleaf pine in the region. The shortleaf pine stands in the interior Boston Mountains are unusual in that they exist primarily above bluff lines at topographic breaks in the hardwood canopy and are not disturbed by fire as frequently …
Spatial Associations Of Liver Disease Rates With Socioeconomic And Health Risk Factors In Georgia, Nguyet Le
Spatial Associations Of Liver Disease Rates With Socioeconomic And Health Risk Factors In Georgia, Nguyet Le
Symposium of Student Scholars
According to the CDC Cancer Statistics Report in 2020, Liver and Intrahepatic Bile Duct is the 6th leading cancer in both USA and the State of Georgia ranked by Rates of Cancer Death. Aflatoxin-containing foods, alcohol consumption, smoking, overeating, and other risky behaviors are among the factors linked to liver diseases. They have also been related to the socioeconomic status (SES) of individuals. The behaviors and SES of individuals are affected by the socioeconomic characteristics of the communities where they live. However, the relationships between the rates of liver diseases and community-level socioeconomic factors are not well studied. The objective …
Urban Flood And Its Correlation With Built-Up Area In Semarang, Indonesia, Risty Khoirunisa, Bambang Darmo Yuwono
Urban Flood And Its Correlation With Built-Up Area In Semarang, Indonesia, Risty Khoirunisa, Bambang Darmo Yuwono
Smart City
The expansion of urban areas is closely related to environmental problems such as changes in land use, flooding, and land subsidence. Semarang is a city with reasonably rapid development and a high land change experiencing floods and land subsidence. This paper will discuss land transformation caused by urban growth and its implications. It uses a combination of geospatial techniques and cloud computing Google Earth Engine (GEE) to carry out mapping over a large area without being constrained by computer capabilities. This study found that the built-up area in 2010 occupied 36.27% of the city, and it went up to 59.79% …
Understanding Tourism Dynamics Using Gis And Forecasting Model In Banswara District, Rajasthan, India, Viranch N. Dave, Mudit D. Mankad, Ami U. Rawal
Understanding Tourism Dynamics Using Gis And Forecasting Model In Banswara District, Rajasthan, India, Viranch N. Dave, Mudit D. Mankad, Ami U. Rawal
Journal of Tourism Insights
Understanding the tourism dynamics of an area involves a rigorous literature review, interviewing the local people and experts, and visiting the sites. This also involves getting acquainted with the transport network of the area to know about the accessibility to the tourism destination, which ultimately helps in preparing a suitable plan for tourism development by creating tourist circuits. Forecasting tourism demand with the help of past data helps put a better picture in front of planners and administration so they can plan more efficiently. Thus, a proper understanding of tourism dynamics requires a holistic vision. The present study tried to …
An Agent-Based Modeling Approach To Spatial Accessibility, Alexander C. Michels, Shaowen Wang
An Agent-Based Modeling Approach To Spatial Accessibility, Alexander C. Michels, Shaowen Wang
I-GUIDE Forum
Place-based spatial accessibility represents the ability of populations within geographic units to access goods and services, and thus is an important indicator for sustainable development. Existing spatial accessibility models treat population as simply demand, calculating statistics or optimizing average cost for the population within each geographic unit, rather than modeling individual decisions. This paper proposes AgentAccess, a general-purpose Agent-Based Model (ABM) for spatial accessibility analysis. An ABM framework brings us closer to reality by simulating individual and imperfect decision-making. We introduce the model and compare its results against existing spatial accessibility models using a case study of hospital beds in …
Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian
Reducing Uncertainty In Sea-Level Rise Prediction: A Spatial-Variability-Aware Approach, Subhankar Ghosh, Shuai An, Arun Sharma, Jayant Gupta, Shashi Shekhar, Aneesh Subramanian
I-GUIDE Forum
Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and beyond due to climate change's impacts on polar ice sheets and the ocean. This problem is challenging due to spatial variability and unknowns such as possible tipping points (e.g., collapse of Greenland or West Antarctic ice-shelf), climate feedback loops (e.g., clouds, permafrost thawing), future policy decisions, and human actions. Most existing climate modeling approaches use the same set of weights globally, during either regression or …
Analysis Of Normalized Difference Vegetation Index Change Of The West Bank, Palestine, Using Multitemporal Satellite Remote Sensing Data, Ahmed Ghodieh
An-Najah University Journal for Research - B (Humanities)
The West Bank is characterized by the diversity of its climate despite its small area. It includes four climatic regions:- a humid, semi-humid, arid, and semi-arid climate. This in turn affected the geographical distribution of vegetation cover seasonally and over the years. This study investigated changes in the West Bank, Palestine vegetation cover using multitemporal Landsat data. Four images were selected for this purpose – two corresponding to 2001 and the other two corresponding to 2021. Seasonal change of the Normalized Difference Vegetation Index (NDVI) was investigated for the acquired images. ArcGIS 10.8 software was used for image processing and …
A Mixed Methods Approach To Understanding The Links Between Mining, Climate Change And Selected Health Outcomes In India, Mary J. Cheruvillil
A Mixed Methods Approach To Understanding The Links Between Mining, Climate Change And Selected Health Outcomes In India, Mary J. Cheruvillil
Dissertations and Theses
Despite ample evidence of the significant role that mining activities play in determining health outcomes, in India there is a dearth of comprehensive health studies that draw linkages between mining and health. The purpose of the following study is to investigate the impact of mining activities on population health in India using three different methods: ecological multivariable regression, exploratory spatial data analysis (ESDA) and content analysis of government documents using a phenomenological approach. The first aim uses the ecological multivariable regression to examine associations between mining activities and children’s malnutrition outcomes at the district level. Census data, the Demographic Health …
Forecasting Sea Level Rise-Driven Inundation In Diked And Tidally Restricted Coastal Lowlands, K. M. Befus, A. P.D. Kurnizki, K. D. Kroeger, M. J. Eagle, T. P. Smith
Forecasting Sea Level Rise-Driven Inundation In Diked And Tidally Restricted Coastal Lowlands, K. M. Befus, A. P.D. Kurnizki, K. D. Kroeger, M. J. Eagle, T. P. Smith
Geosciences Faculty Publications and Presentations
Diked and drained coastal lowlands rely on hydraulic and protective infrastructure that may not function as designed in areas with relative sea-level rise. The slow and incremental loss of the hydraulic conditions required for a well-drained system make it difficult to identify if and when the flow structures no longer discharge enough water, especially in tidal settings where two-way flows occur through the dike. We developed and applied a hydraulic mass-balance model to quantify how water levels in the diked and tidally restricted coastal wetlands and water bodies dynamically respond to sea-level rise, specifically applied to the Herring River Estuary …
Communicating Nature-Society Relationships In Coastal Louisiana: An Evaluation Of The Ecosystem Services Framework, Vanessa Van Heerden
Communicating Nature-Society Relationships In Coastal Louisiana: An Evaluation Of The Ecosystem Services Framework, Vanessa Van Heerden
LSU Doctoral Dissertations
The ecosystem services (ES) framework is a tool to communicate the value of natural environments to human well-being by monetizing services that natural environments provide to humans. The Louisiana Coastal Master Plan uses the ecosystem services provided by the Mississippi River Delta as rationale for why coastal Louisiana should be protected. Here, I am interested in determining how the ecosystem services framework is used to communicate nature-society relationships in coastal Louisiana. I conducted a meta-analysis and spatial analysis to understand the spatial relationships of ecosystem services in the wetlands of coastal Louisiana. I then conducted a survey of residents of …
Spatial Conservation Planning In The Southeastern United States: Alignments And Opportunities, Bradly Stewart Thornton
Spatial Conservation Planning In The Southeastern United States: Alignments And Opportunities, Bradly Stewart Thornton
Theses and Dissertations
Conservation managers and planners need the ‘best available science’ to support robust and defensible decisions, ensuring that public resources are appropriately allocated. Spatial planning products and decision-support tools developed for this purpose should enable partner organizations to achieve focus, coordination, and increased effectiveness in their investments and actions. Whereas conservation partnerships have historically created distinct planning tools, there is increasing interest for improved coordination, communication, and unifying biological datasets to improve the cohesiveness of regional management activities. We sought to inform spatial conservation planning efforts in the southeastern United States through the development of species distribution models for focal avian …
Modeling The Impacts Of Sea Level Rise In Coastal Virginia At Multiple Scales, George Murray Mcleod Iv
Modeling The Impacts Of Sea Level Rise In Coastal Virginia At Multiple Scales, George Murray Mcleod Iv
OES Theses and Dissertations
Relative sea level is increasing along the Mid-Atlantic coast of the United States and the rate of relative sea level rise (ΔRSL) for Coastal Virginia is approximately double the rate of global sea level rise (ΔSLRG)(1). The potential impacts posed to communities by ΔRSL are best understood by examining the spatial relationship between the upper limits of ocean-connected waters and the geographic positioning of critical natural and societal assets. This research examines this problem at three spatial scales to quantify the impacts of ΔRSL and storm flooding events on (i) structural and transportation infrastructure for the tide-influenced coastal zone of …
Gentrification And Crime In The Twin Cities: Insights And Challenges Through A Statistical Lens, Erin G. Franke
Gentrification And Crime In The Twin Cities: Insights And Challenges Through A Statistical Lens, Erin G. Franke
Mathematics, Statistics, and Computer Science Honors Projects
Gentrification is a complex process of urban redevelopment that typically involves an in-migration of educated people to neighborhoods experiencing a period of disinvestment. While gentrification is widely regarded for its potential to displace long-time businesses and residents of the neighborhood, its impact on crime is highly controversial. There is not a consensus on the relationship between gentrification and crime across criminological theory and past statistical studies have also shown contradictory results. Measuring gentrification on the tract level with census data, we seek to understand gentrification’s relationship with violent crime and theft in the Twin Cities. Using a Poisson model with …
Unidentified Deceased Persons: Who Are At-Risk?, Sarah Duncan
Unidentified Deceased Persons: Who Are At-Risk?, Sarah Duncan
All Theses
This study explores the silent mass disaster of unidentified deceased persons that is occurring across the United States and identifies the individual and community level characteristics that make a person “at-risk” of becoming an unidentified deceased person within the United States. This study identifies trends-based hotspots by using data reported on the National Missing and Unidentified Persons System (NamUs) and comparing those trends to the gender United States population. It finds that males, and age of death between 20-64 are overrepresented and White persons are underrepresented in the unidentified deceased person sample when compared the general population. Social and human …
A Graphical User Interface Using Spatiotemporal Interpolation To Determine Fine Particulate Matter Values In The United States, Kelly M. Entrekin
A Graphical User Interface Using Spatiotemporal Interpolation To Determine Fine Particulate Matter Values In The United States, Kelly M. Entrekin
Honors College Theses
Fine particulate matter or PM2.5 can be described as a pollution particle that has a diameter of 2.5 micrometers or smaller. These pollution particle values are measured by monitoring sites installed across the United States throughout the year. While these values are helpful, a lot of areas are not accounted for as scientists are not able to measure all of the United States. Some of these unmeasured regions could be reaching high PM2.5 values over time without being aware of it. These high values can be dangerous by causing or worsening health conditions, such as cardiovascular and lung diseases. Within …
Mapping, Modeling, And Predicting Extreme Flood Events With Cloud Computing, Dan Tian
Mapping, Modeling, And Predicting Extreme Flood Events With Cloud Computing, Dan Tian
LSU Doctoral Dissertations
Floods represent one of the most severe natural disasters worldwide. It is crucial to accurately assess flood hazards to mitigate the impact and enhance community resilience. This study focuses on three key components of flood hazard management, including (1) flood frequency estimation, (2) inundation delineation, and (3) flood susceptibility assessment. The first project presents a Bayesian Log-Pearson Type III model with Spatial Priors (BLP3-SP) that utilizes spatial regression priors to enhance the accuracy of flood frequency estimation for sites with limited data. The method is compared with two other algorithms with different priors. The results indicate that BLP3-SP performs the …
Tourism, Mapping, Retail And Recreational Trails: A Case Study Of Connectivity Between Trails And Adjacent Downtowns In Anniston, Alabama, Usa, Jennifer Green
Tourism, Mapping, Retail And Recreational Trails: A Case Study Of Connectivity Between Trails And Adjacent Downtowns In Anniston, Alabama, Usa, Jennifer Green
Theses
This study examines the estimated increase in economic impact on a geography’s local economy by creating cross-marketing efforts between expanding an established outdoor recreation trail to a closely located city downtown commerce district. This research will analyze the resulting potential rise in sales/lodging tax revenues for that city by mapping the trail and downtown district, and cross-marketing the other to users of both or either venue. Potential increase in economic impact will be estimated utilizing IMPLAN methodology by assessing the economic impact on the local economy that a percentage range of increased spending resulting from this cross-marketing effort could generate.
Distribution Of Fire Incidents And Fire Fighting Services In Dki Jakarta Province, Muhammad Zakaria, Mangapul P. Tambunan, Hafid Setiadi
Distribution Of Fire Incidents And Fire Fighting Services In Dki Jakarta Province, Muhammad Zakaria, Mangapul P. Tambunan, Hafid Setiadi
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)
The rapid development of the city results in the risk of disasters, one of which is a fire disaster. Fire incidents have increased from time to time, this occurs in line with the continued increase in population and density of settlements. Fire can cause material loss or loss of life. Efforts to minimize fire disasters can be carried out by providing fire fighting service facilities whose numbers can reach all areas. The purpose of this study is to determine the distribution of fire incidents and to determine the distribution of fire services in DKI Jakarta Province. The type of research …
Comparison Result For The Prediction Accuracy Of Seawater Intrusion Based On Different Sample Sizes And Land Cover Characteristics Using Inverse Distance Weighting And Kriging, Ni Made Mega Melliana Suastini, Mochammad Firman Ghazali, Ananda Dermawan, Choirunnisa Salsabila, Lauditta Zahra, Mila Aulia
Comparison Result For The Prediction Accuracy Of Seawater Intrusion Based On Different Sample Sizes And Land Cover Characteristics Using Inverse Distance Weighting And Kriging, Ni Made Mega Melliana Suastini, Mochammad Firman Ghazali, Ananda Dermawan, Choirunnisa Salsabila, Lauditta Zahra, Mila Aulia
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)
This study aims to determine seawater intrusion (SWI) based on sample sizes' contribution to land cover characteristics' accuracy using inverse distance weighting (IDW) and Kriging. The SWI is explained based on the extracted salt concentration from the dissolved soil. Here, this study used 24 samples of salt concentration, namely salinity samples collected by systematic random sampling and divided into two groups: ground control points (GCP) and independent checkpoints (ICP). Two interpolation methods, namely IDW and Kriging, are used to make a spatial prediction of the SWI, and their results are evaluated based on their accuracy by observing the root mean …
Community Participation And Perspectives Of Ambondrolava Mangrove Restoration Project, Nadine Shannon
Community Participation And Perspectives Of Ambondrolava Mangrove Restoration Project, Nadine Shannon
Independent Study Project (ISP) Collection
Madagascar’s mangrove forests are intertidal ecosystems that provide numerous valuable ecosystem services but are nonetheless under pressure from large amounts of deforestation. On the southwestern coast of Madagascar, the village of Ambondrolava practices community led management of the mangrove and its resources. This research project studied the evolution of the mangrove area using GIS data, and investigated, through interviews, the relationship between the local community of Ambondrolava and the organizations that manage the mangrove ecosystem. From 2000 to 2018, the zone of the mangrove has experienced a net loss in area every year, despite reforestation efforts. Most community members interviewed …
Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)
Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)
Library Philosophy and Practice (e-journal)
Abstract
Purpose: The purpose of this research paper is to explore ChatGPT’s potential as an innovative designer tool for the future development of artificial intelligence. Specifically, this conceptual investigation aims to analyze ChatGPT’s capabilities as a tool for designing and developing near about human intelligent systems for futuristic used and developed in the field of Artificial Intelligence (AI). Also with the helps of this paper, researchers are analyzed the strengths and weaknesses of ChatGPT as a tool, and identify possible areas for improvement in its development and implementation. This investigation focused on the various features and functions of ChatGPT that …
Centering Transgender Consumers In Conceptualizations Of Marketplace Marginalization And Digital Spaces, Beck Hansman, Jenna Drenten Ph.D.
Centering Transgender Consumers In Conceptualizations Of Marketplace Marginalization And Digital Spaces, Beck Hansman, Jenna Drenten Ph.D.
School of Business: Faculty Publications and Other Works
The purpose of this study is to center transgender consumers in the conceptualizations between marketplace marginalization and digital spaces. We examine trans-gender crowdfunding as a hashtag-bounded digital space created by and for the transgender community–namely, the #TransCrowdFund digital space on Twitter. We draw on trans digital geographies as a novel analytical lens to focus attention on transgender consumers' unique experiences in and between digital spaces. Through qualitative hashtag mapping, we analyzed a sample of 200 Twitter profiles and accompanying tweets drawn from individuals using the#TransCrowdFund hashtag. Findings suggest transgender consumers utilize crowdfunding as a hashtag-bounded digital space in three ways: …
Estimating Solar Energy Production In Urban Areas For Electric Vehicles, Shaimaa Ahmed
Estimating Solar Energy Production In Urban Areas For Electric Vehicles, Shaimaa Ahmed
Theses and Dissertations
Cities have a high potential for solar energy from PVs installed on buildings' rooftops. There is an increased demand for solar energy in cities to reduce the negative effect of climate change. The thesis investigates solar energy potential in urban areas. It tries to determine how to detect and identify available rooftop areas, how to calculate suitable ones after excluding the effects of the shade, and the estimated energy generated from PVs. Geographic Information Sciences (GIS) and Remote Sensing (RS) are used in solar city planning. The goal of this research is to assess available and suitable rooftops areas using …