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Articles 1 - 30 of 618

Full-Text Articles in Spatial Science

Use Of Unoccupied Aerial Vehicle (Drones) Based Remote Sensing To Model Platform Topography And Identify Human-Made Earthen Barriers In Salt Marshes, Joshua J. Ward Mar 2024

Use Of Unoccupied Aerial Vehicle (Drones) Based Remote Sensing To Model Platform Topography And Identify Human-Made Earthen Barriers In Salt Marshes, Joshua J. Ward

Masters Theses

Elevation is a foundational driver of salt marsh morphology. Elevation governs inundation and hydrological patterns, vegetation distribution, and soil health. Anthropogenic impacts at grand scales (e.g., rising sea levels) and local scales (e.g., infrastructure) have altered the elevation of the salt marsh surface, changing the topography and morphology of these ecosystems. This study establishes and assesses means to document and analyze these impacts using Unoccupied Aerial Vehicle (UAV) based remote sensing to model platform topography. This thesis’s first and primary study presents and compares methods of producing high-resolution digital terrain models (DTMs) with UAV-based Digital Aerial Photogrammetry (DAP) and Light …


Evaluating The Environmental Impacts Of U.S. Historical Oil Spill Incidents, Yiming Liu, Hua Cai Mar 2024

Evaluating The Environmental Impacts Of U.S. Historical Oil Spill Incidents, Yiming Liu, Hua Cai

Graduate Industrial Research Symposium

Exposure to risks associated with the production and usage of products, particularly oil, poses significant threats to both ecological systems and human health. Notable examples include the Gulf War Oil Spill (1991) and the Deepwater Horizon Oil Spill (2010). However, numerous smaller-scale oil spills, which collectively contribute to substantial oil releases, often remain overlooked. To fill this gap, our study first developed a detailed oil spill incidents database, covering 1967 to 2023. We quantified the released amount (RA) of oil spills recorded by the National Oceanic and Atmospheric Administration (NOAA). Subsequently, we utilized life cycle impact indicators in ReCiPe to …


Inventory Of Western United States Glaciers- 2020, Shrinidhi Ambinakudige, Bernard Abubakari Jan 2024

Inventory Of Western United States Glaciers- 2020, Shrinidhi Ambinakudige, Bernard Abubakari

College of Arts and Sciences Publications and Scholarship

The dataset employed for delineating glacier boundaries in the Western United States comprises a compilation of original Sentinel-2 images obtained from the European Space Agency's Copernicus website. These images were instrumental in generating the glacier inventory. Additionally, the dataset includes a Python and R script specifically crafted for processing and classifying Sentinel images. The outcome of this process is represented in an ESRI shapefile, which contains an inventory of glaciers extracted from Sentinel images.


The Natural Geographical Features And Their Role In The Construction Of The Israeli Settlements In The West Bank, Muhammad Abu Asida, Murad Bin Jalloul Jan 2024

The Natural Geographical Features And Their Role In The Construction Of The Israeli Settlements In The West Bank, Muhammad Abu Asida, Murad Bin Jalloul

Journal of the Arab American University مجلة الجامعة العربية الامريكية للبحوث

The properties that influence and control the nature of the geographical distribution of the population clusters can be divided into natural, human, and strategic. This study aimed to demonstrate the impact of the prevailing natural geographic factors on the selection and determination of the locations where the Israeli settlements are concentrated in the West Bank. Terrain, climate conditions, soil, and water resources are all factors that affect and control the nature and distribution of the settlement in any geographical region. This study utilized a historical, inductive, and descriptive-analytical approach. This study concluded that Israel established a network of settlements in …


Development Of A Historic Digital Elevation Model (Hdem) From Archival Aerial Imagery Over The Black Mountain Alluvial Fan, Canada, Emma Menio Dec 2023

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 …


Airbnb Valuation: A Machine Learning Approach, Katherine Wyatt Dec 2023

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.


Age, Size, And Composition Of Selected Old-Growth Shortleaf Pine Stands In The Upper Buffalo River, Arkansas, Willa Avery Thomason Dec 2023

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 Nov 2023

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 …


Towards Understanding The Geospatial Skills Of Chatgpt: Taking A Geographic Information Systems (Gis) Exam, Peter Mooney, Wencong Cui, Boyuan Guan, Levente Juhasz Nov 2023

Towards Understanding The Geospatial Skills Of Chatgpt: Taking A Geographic Information Systems (Gis) Exam, Peter Mooney, Wencong Cui, Boyuan Guan, Levente Juhasz

GIS Center

This paper examines the performance of ChatGPT, a large language model (LLM), in a geographic information systems (GIS) exam. As LLMs like ChatGPT become increasingly prevalent in various domains, including education, it is important to understand their capabilities and limitations in specialized subject areas such as GIS. Human learning of spatial concepts significantly differs from LLM training methodologies. Therefore, this study aims to assess ChatGPT's performance and ability to grasp geospatial concepts by challenging it with a real GIS exam. By analyzing ChatGPT's responses and evaluating its understanding of GIS principles, we gain insights into the potential applications and challenges …


Urban Flood And Its Correlation With Built-Up Area In Semarang, Indonesia, Risty Khoirunisa, Bambang Darmo Yuwono Nov 2023

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 Nov 2023

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 Oct 2023

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 Oct 2023

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 Oct 2023

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 …


Spatial And Temporal Analysis Of Location And Usage Of Public Electric Vehicle Charging Infrastructure In The United States, Levente Juhasz, Hartwig H. Hochmair Jun 2023

Spatial And Temporal Analysis Of Location And Usage Of Public Electric Vehicle Charging Infrastructure In The United States, Levente Juhasz, Hartwig H. Hochmair

GIS Center

Switching to electric vehicles (EVs) has increased rapidly over recent years. This paradigm change provides an important pillar in the United States transport sector to reach sustainability goals. EVs rely on a network of charging locations to operate. This study analyses the spatial distribution, accessibility and usage patterns of the public EV infrastructure in the US. First, using a negative binomial regression model, the influence of socio-economic and other factors on the abundance of EV charging locations in a state is investigated. Second, analysis of the network’s use and of service areas generated around charging locations provides insight into the …


Power Outage And Environmental Justice In Winter Storm Uri: An Analytical Workflow Based On Nighttime Light Remote Sensing, Jinwen Xu, Yi Qiang, Heng Cai, Lei Zou Jun 2023

Power Outage And Environmental Justice In Winter Storm Uri: An Analytical Workflow Based On Nighttime Light Remote Sensing, Jinwen Xu, Yi Qiang, Heng Cai, Lei Zou

GIS Center

The intensity of extreme weather events has been increasing, posing a unique threat to society and highlighting the importance of our electrical power system, a key component in our infrastructure. In severe weather events, quickly identifying power outage impact zones and affected communities is crucial for informed disaster response. However, a lack of household-level power outage data impedes timely and precise assessments. To address these challenges, we introduced an analytical workflow using NASA’s Black Marble daily nighttime light (NTL) images to detect power outages from the 2021 Winter Storm Uri. This workflow includes adjustments to mitigate viewing angle and snow …


Spatial Conservation Planning In The Southeastern United States: Alignments And Opportunities, Bradly Stewart Thornton May 2023

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 …


Multidimensional Investigation Of Tennessee’S Urban Forest, Jillian L. Gorrell May 2023

Multidimensional Investigation Of Tennessee’S Urban Forest, Jillian L. Gorrell

Doctoral Dissertations

Preserving existing trees in urban areas and properly cultivating urban forest conservation and management opportunities is valuable to the ever-growing urban environment and necessary for creating optimal experiences and educational tools to meet the needs of increasing urban populations. This dissertation contains studies investigating several facets of the urban forest, including environmental effects of deforestation and urbanization, tree equity, and urban forest facility management and accessibility. Community education and outreach at arboreta about the importance of the tree canopy can help promote environmental stewardship. A digital questionnaire was electronically distributed to representatives of arboreta certified through the Tennessee Division of …


Modeling The Impacts Of Sea Level Rise In Coastal Virginia At Multiple Scales, George Murray Mcleod Iv May 2023

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 May 2023

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 …


A Graphical User Interface Using Spatiotemporal Interpolation To Determine Fine Particulate Matter Values In The United States, Kelly M. Entrekin Apr 2023

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 …


Modeling Spatial Distributions Of Tidal Marsh Blue Carbon Using Morphometric Parameters From Lidar, Bonnie Turek Apr 2023

Modeling Spatial Distributions Of Tidal Marsh Blue Carbon Using Morphometric Parameters From Lidar, Bonnie Turek

Masters Theses

Tidal marshes serve as important “blue carbon” ecosystems that accrete large amounts of carbon with limited area. While much attention has been paid to the spatial variability of sedimentation within salt marshes, less work has been done to characterize spatial variability in marsh carbon density. Driven by tidal inundation, surface topography, and sediment supply, soil properties in marshes vary spatially with several parameters, including marsh platform elevation and proximity to the marsh edge and tidal creek network. We used lidar to extract these morphometric parameters from tidal marshes to map soil organic carbon (SOC) at the meter scale. Fixed volume …


Community Participation And Perspectives Of Ambondrolava Mangrove Restoration Project, Nadine Shannon Apr 2023

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 …


Tourism, Mapping, Retail And Recreational Trails: A Case Study Of Connectivity Between Trails And Adjacent Downtowns In Anniston, Alabama, Usa, Jennifer Green Apr 2023

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.


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 Apr 2023

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 …


Distribution Of Fire Incidents And Fire Fighting Services In Dki Jakarta Province, Muhammad Zakaria, Mangapul P. Tambunan, Hafid Setiadi Apr 2023

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 …


Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian) Mar 2023

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. Feb 2023

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 Jan 2023

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 …


Evaluating Behavioral Intention To Increase Classroom Geotechnology Usage Following Geoinquiry Implementation, Erika S. Klose Jan 2023

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 …