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Full-Text Articles in Spatial Science

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 …


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 …


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 …