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Spatial Analysis

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Full-Text Articles in Geographic Information Sciences

Tornado Impacts: St. Louis Neighborhoods And Physical Environment, Jeremiah J. Dyson, Kymberli Philpott, Ricardo Belle, Jamilah Bracely, Will Ranney, Cornell Evans Sep 2026

Tornado Impacts: St. Louis Neighborhoods And Physical Environment, Jeremiah J. Dyson, Kymberli Philpott, Ricardo Belle, Jamilah Bracely, Will Ranney, Cornell Evans

Undergraduate Research Symposium

This work explores the aftermath of the St. Louis May tornado last year that impacted parts of the area. Many homes, forests, properties, and other spaces such as wildlife habitats were destroyed. Through field explorations, geospatial technology, interviews, documentation, and comparing data, as a group we aimed to gain a better understanding of the geographic and sociological impact of the tornado, and the steps taken to help rebuild. With this project in mind, this work is also an explanation on what the preventative measures are to avoid mass destruction in natural disasters.


Modeling Bald Eagle Habitat Suitability In The Del Rio Springs Ecosystem Using Lidar And Spatial Analysis, Noah Morales, Hank Vincent, Ronny Schroeder Sep 2026

Modeling Bald Eagle Habitat Suitability In The Del Rio Springs Ecosystem Using Lidar And Spatial Analysis, Noah Morales, Hank Vincent, Ronny Schroeder

Student Works

This study expands upon prior research that utilized NDVI-based hotspot analysis from UAS and satellite imagery (Morales et al. 2026) to identify potential bald eagle nesting and foraging areas. While NDVI effectively captures vegetation density, it does not distinguish between vegetation types or landscape structural characteristics necessary for nesting. To address this limitation, this research integrates LiDAR-derived canopy height, terrain slope, and proximity to stream networks to develop a more refined habitat suitability model within the Del Rio Springs ecosystem.

Airborne LiDAR data were used to generate Digital Surface Models (DSM) and Digital Elevation Models (DEM), which were employed to …


Moving Through Disasters: Spatial Analysis And Modeling Of Evacuation, Migration, And Socioeconomic Selectivity In The United States, Xiang Li Jun 2026

Moving Through Disasters: Spatial Analysis And Modeling Of Evacuation, Migration, And Socioeconomic Selectivity In The United States, Xiang Li

USF Tampa Graduate Theses and Dissertations

Disasters increasingly affect population movement in the United States, but their relationships with mobility and migration at various spatio-temporal scales are not fully understood. Disaster-related movement may appear as short-term evacuation during hazardous events, long-term migration after major or repeated disaster exposure, or selective redistribution across socio-economic groups. Therefore, this dissertation aims to address three main questions: 1) What are the spatial patterns of evacuation, and how do evacuation rates vary across space during a major disaster? 2) To what extent are natural disasters associated with long-term human migration patterns in the United States, and how can their contributions be …


A Proposed Conceptual Framework For Assessing Quality Of Life In The United Arab Emirates: Application To Ras Al Khaimah Emirate, Aaesha Saif Al Shehhi Jan 2026

A Proposed Conceptual Framework For Assessing Quality Of Life In The United Arab Emirates: Application To Ras Al Khaimah Emirate, Aaesha Saif Al Shehhi

Dissertations

Quality of Life (QoL) has become a central concern in urban planning and sustainable development, particularly in rapidly transforming contexts such as the United Arab Emirates. This dissertation proposes and empirically validates a comprehensive framework for assessing urban QoL, with a focused application to the Emirate of Ras Al Khaimah. A mixed-methods approach integrates objective indicators and residents' subjective perceptions, aligned with national strategies including UAE Vision 2030, the National Strategy for Wellbeing 2031, and UAE Centennial 2071.

The methodology combines Geographic Information Systems (GIS), the Analytic Hierarchy Process (AHP), and statistical analyses to evaluate seven key sectors: environment, infrastructure …


Analyzing Environmental Health: Air Pollution And Human Health Using Geospatial Data Science, Yanhong Huang Jul 2025

Analyzing Environmental Health: Air Pollution And Human Health Using Geospatial Data Science, Yanhong Huang

Geography ETDs

Air pollution from industrial emissions and wildfire smoke poses growing threats to public health. This dissertation employs geospatial data science to examine these challenges through three interrelated studies. The first study investigates the relationship between maternal residential exposure to industrial pollutants and low birth weight, identifying five chemicals as significant risk factors. The second study assesses the impact of industrial air pollution on lung and bronchus cancer survival, finding that exposure to 1,1,1-trichloroethane and cobalt is associated with reduced survival. The third study explores disparities in wildfire smoke PM2.5 exposure and its association with asthma exacerbations. Results show disparities …


Prepare For, Respond To, Recover, And Learn From Disasters: Using Data-Driven Methods To Model And Understand Disaster Resilience, Jinwen Xu Mar 2023

Prepare For, Respond To, Recover, And Learn From Disasters: Using Data-Driven Methods To Model And Understand Disaster Resilience, Jinwen Xu

USF Tampa Graduate Theses and Dissertations

Community resilience reflects the ability of human communities to prepare for, respond to, recover, and learn from disastrous events. Community resilience carries different meanings in different phases of disaster management (i.e., preparedness, response, recovery, and mitigation). With the emergence of new geospatial data sources, human activities now can be captured through social media, mobile signals, and nighttime illuminations, which makes it possible to describe the conditions among various communities before, during, and after disasters. Therefore, this dissertation explored the use of different types of geospatial data sources (social media, nighttime light remote sensing, land-use data, and census survey data) during …


Spatial Mismatch Between Electric Vehicles (Evs) And Ev Charging Stations In Florida, Chuang Yin Mar 2023

Spatial Mismatch Between Electric Vehicles (Evs) And Ev Charging Stations In Florida, Chuang Yin

USF Tampa Graduate Theses and Dissertations

Carbon emission is a key contributor to global warming and climate change. Reducing carbon emissions has posed as a challenge for several decades, prompting a rising alliance of nations, municipalities, corporations, and other establishments to commit to achieving net-zero emissions. One of the trends in many countries is to replace traditional internal combustion engine (ICE) vehicles with alternative fuel vehicles, especially electric vehicles (EVs). The Global EV Outlook 2021 report by IEA reveals that there was a 41% surge in the registration of electric cars in 2020, resulting in the sale of approximately 3 million electric cars worldwide. Since the …


Three Essays On “Energy , Environment, And Developmental Economics”, Bolarinwa Ajanaku Jan 2021

Three Essays On “Energy , Environment, And Developmental Economics”, Bolarinwa Ajanaku

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation examines topics related to renewable energy development and investment planning, energy markets, environment degradation and economic development. The substantial ecological costs of deforestation are well known and considered globally important due to biodiversity loss, land degradation, soil erosion, and contributions to climate change. The first essay focuses upon understanding the tradeoff between development and deforestation in Africa. In the second essay, spatial analysis and Geographic Information System (GIS) are applied to determine potential locations for wind farms development in the state of West Virginia. Lastly, the third essay examines the role of wind power penetration on wholesale electricity …


A Systematic Method For Measuring Gentrification Using Building Permits Data: A Washington D.C Case Study, Andey Fomil Jan 2021

A Systematic Method For Measuring Gentrification Using Building Permits Data: A Washington D.C Case Study, Andey Fomil

Graduate Theses, Dissertations, and Problem Reports (ETD)

Gentrification can significantly alter the socioeconomic, demographic, and commercial aspects of a city. It is a complex process that transforms the characteristics of entire neighborhoods, modifying not only the observable physical aspects, but also the community structure. Traditional quantitative gentrification measurement approaches assess the process through analysis of Census demographic indicators coupled with field visit analysis of the physical built environment. This study proposes a new gentrification measuring approach that combines traditional Census indicators with a new indicator in the form of City Building Permits. Two GIS spatial analysis techniques are utilized to evaluate the effectiveness and accuracy of the …


Using Spatial Analysis And Machine Learning Techniques To Develop A Comprehensive Highway-Rail Grade Crossing Consolidation Model, Samira Soleimani Oct 2020

Using Spatial Analysis And Machine Learning Techniques To Develop A Comprehensive Highway-Rail Grade Crossing Consolidation Model, Samira Soleimani

LSU Doctoral Dissertations

The safety of highway-railroad grade crossings (HRGC) is still an issue in the United States of America (USA). The grade crossing is where a railroad crosses a road at the same level without any over or underpass. To improve the safety of crossings, the crossings’ condition should be explored from several aspects such as engineering design (speed limit, warning signs, etc.), road condition (number of lanes, surface markings, etc.), rail design (the type of track, ballast, etc.), temporal variables (weather, visibility, time of day, lightning, etc.), social variables (population, race, etc.), and last but not least, spatial variables (the type …


Investigating The Spatial And Statistical Dimensions Of Mortuary Choice In The Historical-Period Old City Cemetery In Roslyn, Washington, Sarah Rain Hibdon Jan 2020

Investigating The Spatial And Statistical Dimensions Of Mortuary Choice In The Historical-Period Old City Cemetery In Roslyn, Washington, Sarah Rain Hibdon

All Master's Theses

The historical-period Old City Cemetery in Roslyn, Washington contains individuals from diverse social backgrounds and exhibits considerable variation in mortuary expression. As such, the Old City Cemetery offers a unique opportunity to explore potential differences in social group mortuary practices spatially and statistically. Using burials in Roslyn’s Old City Cemetery, this project developed a methods framework to assess mortuary practice through demographics, burial location, and monument/plot attributes. I tested correlations between demographics and mortuary expression using spatial-statistical cluster analysis (Ripley’s K-Function), spatial density analysis (Kernel Density Estimation), and non-spatial statistical significance assessments (Factor analysis and Pearson’s R), and identified …


Decisions Set In Stone: Spatial Analyses Of Ozark Rock Art Sites, Elements, And Motifs With Gis, Jordan Lee Schaefer May 2018

Decisions Set In Stone: Spatial Analyses Of Ozark Rock Art Sites, Elements, And Motifs With Gis, Jordan Lee Schaefer

Graduate Theses and Dissertations

This thesis uses Geographic Information Systems (GIS) to spatially analyze rock art distributions in the Salem Plateau section of the Arkansas Ozarks. Statistical tests, such as chi-square and t-testing, are applied to provide an objective view of rock art patterning in relation to the overall landscape. The data collected from these methods allow one to discern the locational preferences for rock art, which potentially reveal cultural details about the people involved with its creation. Multiple analytical perspectives are applied throughout, initially focusing on comparisons with expected values and random points. Later statistical tests use bluff shelter distributions as reference data …


Gis Analysis Of Dvāravatī Dharmacakras And The Rise Of Buddhism In Thailand, Areerut Patnukao Oct 2017

Gis Analysis Of Dvāravatī Dharmacakras And The Rise Of Buddhism In Thailand, Areerut Patnukao

LSU Doctoral Dissertations

This dissertation explores how GIS as well as spatial and statistical analyses could be used to advance the understanding of Dvāravatī settlement and Dharmacakras locations. The research employs archaeological and geographical parameters to measure and quantify the patterns of Dvāravatī settlements, Dharmacakra locations, their interrelationship, and their relationship with environmental setting. The different types of spatial analyses, parameter settings within each analysis, and approaches are used to examine and explore the differences and commonalities of these variables at three different geographic levels: national, regional, and river basin levels.

Four distinct approaches are incorporated in this study. Chi-Square analysis shows significant …


Analysis Of Traffic Collisions In Dublin Using Gis Based System, Jagteshwar Singh, Niamh O' Reilly Aug 2017

Analysis Of Traffic Collisions In Dublin Using Gis Based System, Jagteshwar Singh, Niamh O' Reilly

Conference papers

This study aims to analyse traffic collisions in the Greater Dublin Region between the period 2006-2012, using GIS to identify hotspots and examine the relationship between collisions and a range of contributory factors including vehicular speeds, traffic volume, road curvature, road category and distance from intersection that could enable prediction of traffic collisions. To this end, Road Safety Authority (RSA) collision data for Dublin Region geocoded as point events, road profiles, traffic flow characteristics on which these occur are spatially merged using ArcGIS and FME software to establish if a significant relationship exists between collision frequencies on road links and …


Geographical Information Systems (Gis) Applied To Urban Nutrient Management: Data Scarce Case Studies From Belize And Florida, Charlotte Juliane Haberstroh Mar 2017

Geographical Information Systems (Gis) Applied To Urban Nutrient Management: Data Scarce Case Studies From Belize And Florida, Charlotte Juliane Haberstroh

USF Tampa Graduate Theses and Dissertations

Nutrient inputs into the environment greatly impact urban ecosystems. Appropriate management strategies are needed to limit eutrophication of surface water bodies and contamination of groundwater. In many existing urban environments, retrofits or complete upgrades are needed for stormwater and/or wastewater infrastructure to manage nutrients. However, sustainable urban nutrient management requires comprehensive baseline data that is often not available. A Framework for Urban Nutrient (FUN) Management for Geographic Information Systems (GIS) was developed to specifically address those areas with limited data access. Using spatial analysis in GIS, it links water quality, land use, and socio-demographics, thereby reducing data collection and field-based …


Eco-Epidemiology Of Eastern Equine Encephalitis Virus, Patrick Vander Kelen Jan 2013

Eco-Epidemiology Of Eastern Equine Encephalitis Virus, Patrick Vander Kelen

USF Tampa Graduate Theses and Dissertations

ABSTRACT

Eastern Equine Encephalitis virus (EEEV) is an alphavirus with high pathogenicity in both humans and horses. Florida continues to have the highest occurrence of human cases in the USA, with four fatalities recorded in 2010. Unlike other states, Florida supports year-round EEEV transmission. This research uses Geographic Information Science (GIS) to examine spatial patterns of documented sentinel seroconversions and horse cases in order to understand the relationships between habitat and transmission intensity of EEEV in Florida. Sentinel sites were categorized as enzootic, periodically enzootic, and negative based on the amount of chicken seroconversions to EEEV. Sentinel sites were analyzed …


Social Interaction At The Maya Site Of Copan, Honduras: A Least Cost Approach To Configurational Analysis, Heather Richards-Rissetto Jan 2012

Social Interaction At The Maya Site Of Copan, Honduras: A Least Cost Approach To Configurational Analysis, Heather Richards-Rissetto

Department of Anthropology: Faculty Publications

In this article, I employ least cost paths using GIS to measure the relationship between site configuration and social connectivity at the ancient Maya site of Copan, Honduras. I investigate two questions. First, did people of different social classes experience varying degrees of social connectivity? Second, did people living in different parts of the city experience difference degrees of social connectivity? Ultimately, the goal is modify traditional configurational analysis using least cost analysis (LCA) to identify how social hierarchy was embedded in landscapes and how ancient people may have strategically manipulated landscapes to structure social interaction and community organization.


Food Deserts' And 'Food Swamps' In Hillsborough County, Florida: Unequal Access To Supermarkets And Fast-Food Restaurants, Dana Beth Stein Jan 2011

Food Deserts' And 'Food Swamps' In Hillsborough County, Florida: Unequal Access To Supermarkets And Fast-Food Restaurants, Dana Beth Stein

USF Tampa Graduate Theses and Dissertations

Research has shown that the suburbanization of supermarkets has created `food deserts', defined as areas where socially disadvantaged individuals lack access to nutritious food outlets. Additionally, the growing presence of fast-food restaurants has created `food swamps', or areas where socially disadvantaged individuals encounter an overabundance of unhealthy food outlets. While previous studies have analyzed either `food deserts' or `food swamps' using conventional statistical techniques, a more comprehensive approach that includes samples of both healthy and unhealthy entities and considers the variety of available food options is necessary to improve our understanding of the local food environment and related disparities.

This …


A Spatial And Temporal Analysis Of Conifers Using Remote Sensing And Gis, Michael Koon Jan 2004

A Spatial And Temporal Analysis Of Conifers Using Remote Sensing And Gis, Michael Koon

Theses, Dissertations and Capstones

Two sets of remotely sensed images, 1986 Landsat Multispectral Scanner and a 2000 Landsat Thematic Mapper +, were used in a change detection study to determine decline and growth of conifers in Grant and Tucker Counties. The images were registered, preprocessed for atmospheric effects, ratioed using Normalized Difference Vegetation Index, and categorized. A thematic change calculation was performed indicating growth and decline of vegetation. The resulting information was combined with ancillary data for GIS spatial analysis. The results showed an overall increase in vegetation and specifically on abandoned mine lands. Statistical tests showed decline occurred on steeper slopes, but was …