Spatial Science Commons^™

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

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

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

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

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

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

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)

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.

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

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

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 …