Spatial Science Commons^™

Spatial Association Of Acute Respiratory Infection, Diarrhea, And Low Birth Weight With Stunting Prevalence In Indonesia, 2024, Dian Rosadi, Husaini Husaini, Triawanti Triawanti, Musafaah Musafaah

Kesmas

Stunting remains unevenly distributed across Indonesia, but national evidence integrating spatial analysis and spatial regression is limited. This study examined the spatial distribution of stunting and its associations with acute respiratory infection (ARI), diarrhea, and low birth weight (LBW) across Indonesian provinces. An ecological cross-sectional study used data from the 2024 Indonesian Nutritional Status Survey. Stunting-only analyses included all 38 provinces, whereas analyses involving ARI, diarrhea, and LBW included 37 provinces with complete data. Spatial analyses used a row-standardized symmetric four-nearest-neighbor spatial weights matrix and included Global Moran’s I, bivariate spatial analysis, Local Indicators of Spatial Association, ordinary least squares, …

Evaluating The Impact Of Ai-Assisted Tools On Novice Interface Design For Combat Search And Rescue Operations, Louis Pandolfo, Kaylee H. Akerlund, Cassidi Ellison, Sierra Martinez

Discovery Day - Daytona Beach

Combat Search and Rescue (CSAR) operations are specialized military missions with the goal of rescuing personnel from hostile territory, often involving helicopters and elite teams tasked with locating and stabilizing survivors. It is imperative to a mission's success that any interface used by rescuers is efficient and usable, as they work under high risk, high stress, and time limited conditions. This study examined how access to artificial intelligence (AI) design tools influence novice interface design under a time constraint. Participants completed an interface design exercise based on a simulated U.S. Navy maritime disaster and CSAR mission. The overall aim of …

Using A Social-Ecological-Technological Systems Approach For Assessing Vulnerabilities Downstream Of Dams, Michael J. Englert

All Graduate Reports and Creative Projects, Fall 2023 to Present

Dam failure is rare, but when it occurs the consequences can extend far beyond the structure of the dam itself. This project assessed vulnerabilities downstream of Utah’s 189 state-regulated, high-hazard dams using a Social-Ecological-Technological Systems (SETS) approach. The purpose of the project was to look beyond engineering and structural risk alone and identify the people, protected ecosystems, critical infrastructure, and land cover types located within mapped dam inundation zones.

Potential inundation zone maps were obtained from the Utah Division of Water Rights Dam Safety Section. They were processed using ArcGIS Pro and integrated with publicly available nationwide geospatial datasets to …

Measuring And Mapping Spatial Distributions Of Soil Lead Concentrations Along Chicago Parkways: West Ridge And Near South Side, Alyssa M. Kain

DePaul Discoveries

Lead is a heavy metal that can be found in every part of our planet. Human activities like the extraction of fossil fuels and degradation of construction materials can release lead into the environment, where it travels and accumulates in places like our soil or water. Despite efforts to lower the use of lead-based materials within the last fifty years, lead contamination remains as a threat to public health and safety. Elevated blood lead levels are known to cause a variety of health issues particularly for young children and pregnant women. This study aims to measure, map, and analyze the …

Clearing The Air: Tracking Spatial And Temporal Pm2.5 Variability Along A Biking Transect In Chicago, Beau R. Rass

DePaul Discoveries

Fine particulate matter (PM₂.₅) poses significant risks to human health and disproportionately affects marginalized communities in urban environments (World Health Organization [WHO], 2021; Tessum et al., 2021). Using low-cost mobile sensors, this study explored spatiotemporal PM₂.₅ concentration patterns along a north–south transect of Halsted Street in Chicago. A 2B Technologies Portable Aerosol Monitor (PAM) mounted on a bicycle was used to continuously record PM₂.₅ concentrations with associated GPS coordinates at approximately two-second intervals during 16 sampling events between 08-12-2025 and 10-05-2025. PM₂.₅ concentrations did not differ significantly among the South Side, West Loop, and North Side regions, contrary to the …

Transit Infrastructure And Neighborhood Change: The Impact Of The Q Train Expansion On Commercial Space Use In New York City's Upper East Side, Lily E. Levick

Quantitative Social Science Undergraduate Senior Theses

This paper examines the impact of the 2017 Second Avenue Subway expansion on commercial land uses on New York City’s Upper East Side. The research leverages quantitative models alongside qualitative personal experiences and literature to understand the relationship between infrastructure, space, and neighborhood change from a nuanced perspective. The results show that the studied area experienced a broad trend of de-commercialization between 2003 and 2025, and a simultaneous shift toward commercial zoning in areas closest to new subway stations. These findings encourage us to consider how mobility access is an important driver for change within neighborhoods and urban space, and …

Automation, Migration, And Development: Geography Of Job Precarity In South Asia And North Africa, Keshav Bhattarai, Ambika P. Adhikari

Himalayan Research Papers Archive

This article examines how accelerating automation and the adoption of artificial intelligence (AI) in advanced economies reshape labor markets across the Global South through interconnected channels of production, migration, and remittances. Drawing on the theories and practices of economic geography, labor economics, and development studies, the analysis conceptualizes automation as a transnational shock that contracts demand for migrant labor while simultaneously amplifying employment precarity in labor-surplus economies. The article advances a geographically grounded framework linking technology adoption in core industries with labor displacement, youth unemployment, and urban labor saturation in South Asia and North Africa. It further highlights the macroeconomic …

What’S In A Map?: Evaluating Mapping Techniques And Measures Of Culture To Inform Equitable Cultural Planning In Dallas, Texas, Kena Nicol

Planning Masters Professional Reports

The City of Dallas developed a neighborhood typology map to assess cultural resource distribution as part of its 2018 Cultural Plan, representing a relatively new approach that remains underexplored in academic literature. In the same plan, stakeholders identified equity as a central value, highlighting the need for tools that better support equitable cultural planning. This study evaluates the outcomes of two mapping techniques–cultural asset mapping and opportunity mapping – to examine how each represents cultural resource distribution across Dallas and supports equity-oriented analysis. Cultural asset mapping, the standard approach in cultural planning, identifies the spatial distribution of physical cultural infrastructure. …

Factors Affecting Pedestrian-Vehicle Conflicts: An Empirical Analysis, Christo D. Jamo

Honors Scholar Theses

The number of pedestrian deaths increased by 78% between 2009 and 2023, while other motor vehicle crash deaths increased by 13% in the same period [1]. To identify potential pedestrian safety measures, this study analyzed the effects of location-based demographics, pedestrian phasing type, and other physical infrastructure and behavior variables on the probability of pedestrian-vehicle conflicts at signalized intersections, which is a surrogate measure of crash risk. Data were collected from 55 intersections in Connecticut, and the pedestrian-vehicle interactions were classified by severity based on the Swedish Traffic Conflict Technique: undisturbed passage, potential conflict, minor conflict, or serious conflict. Because …

The Geography Of Race: A Spatial Analysis Of Free People Of Color In The City Of Charleston (1790-1861), Alexandra Ullman

All Theses

In Charleston, South Carolina, for all but one year from 1790 to 1860, the enslaved and free Black population outnumbered that of the white. Through manumission, the process of an enslaved person gaining their freedom, the free Black population grew substantially and reached a peak in South Carolina during the nineteenth century. This large community of free people of color (FPOC), shifted the social climate by upsetting the balance of white power, thus increasing racial conflict, tension, and legislation that aimed to control the movement of FPOC.

Despite FPOC comprising a significant portion of the total population of Charleston, there …

On The Paleontology Of Belize, Alson Ovando

Electronic Theses and Dissertations

Paleontology can be considered an underrepresented and emerging area of science in Belize. A primary aim of this thesis is to provide a background of paleontology in Belize and present the first comprehensive study of Quaternary vertebrate fossils known from the country. Quaternary fossil sites across Belize include caves, rivers, and sinkholes. In addition to reviewing and assessing material from known sites, this thesis presents new information and discoveries that were made while investigating Belize’s Quaternary fossil record. This thesis also includes a geospatial model depicting ecoregions in Belize during the last glacial maximum. Overall, the results presented here demonstrate …

A Student-Centered Gis Classroom: Second Chances And Real-World Practice Teaching Portfolio For Nres218 Introduction To Geospatial Technologies, Ran Wang

UNL Faculty Course Portfolios

This course portfolio documents the design, implementation, and reflection of NRES218 Introduction to Geospatial Technologies, an introductory undergraduate geographic information system (GIS) course. This course aims to integrate basic and applied sciences to help students develop spatial thinking and spatial analysis skills for proposing spatial science–oriented solutions. Instructional strategies emphasize experiential learning through structured laboratory exercises and outdoor field activities that connects real-world observation with GIS analysis. To support student learning and persistence, the course also incorporated flexible assessment practices, including second-chance exams. Reflection on student engagement and performance revealed that while these strategies were highly beneficial for some students, …

Kerentanan Kemiskinan Di Sulawesi Selatan: Analisis Vulnerability As Expected Poverty Dan Klaster Spasial, Nur Hilda Triany

Jurnal Ekonomi Kependudukan dan Keluarga

This study aims to analyze the determinants of poverty vulnerability in South Sulawesi by integrating spatial dimensions into risk estimation models. Using micro-data from the March 2024 National Socio-Economic Survey (Susenas) with individuals as the unit of analysis, this study applies the Vulnerability as Expected Poverty (VEP) and Local Indicator of Spatial Association (LISA) methods, estimated through an integrated logistic regression model. Empirical results indicate that while the average vulnerability is relatively low, risk distribution is highly concentrated in specific regional clusters. Key findings reveal that health insurance ownership and household assets are the dominant protective factors that drastically reduce …

Geospatial Investigations Of Big Buckhead Cemetery, Millen, Ga, Audrey E. Popard

College of Graduate Studies: Theses & Dissertations

Geospatial investigations of burials are increasingly recognized as the most efficient and ethical means of determining grave locations in forensic and bioarchaeological research. A methodology of multi-tiered geospatial investigation has been applied to the Big Buckhead Baptist Church cemetery in Millen, GA. Using the systematic layering of geospatial technologies, the present study seeks to identify ground surface anomalies, with the objective of delineating known and potential unknown burial locations. It is hypothesized that the layered use of Light Detection and Ranging (LiDAR), Geographic Information Systems (GIS), and Ground Penetrating Radar (GPR), will allow for the most efficient and accurate demarcation …

Below The Rows, Beyond The Roots: An Art Exhibition Depicting Agriculture Across The Globe, Maggie Enoch

Honors Theses and Capstones

In Below the Rows, Beyond the Roots, artist Maggie Enoch creates multimedia works inspired by her exposure to diverse agricultural systems and perspectives while studying geography and sustainable agriculture/food systems around the world. By integrating complex histories with the contemporary realities of farming, Maggie paints vivid pictures of the power of food in this five-piece exhibition.

Mapping Historical Neighborhoods With Geospatial Viewshed Buffers, James B. Townsend

Dissertations, Master's Theses and Master's Reports

The concept of neighborhood has been long studied with little agreement beyond the notion that neighborhoods are somewhat self-contained areas within a wider urban environment. Despite the lack of a finite definition, there is wide agreement of the importance of studying population dynamics at the neighborhood scale. Many attempts have been made to spatially define, measure, and quantify contemporary neighborhoods, but less attention has been given to methods to spatially define historical neighborhoods. In this paper, we utilize a historical spatial data infrastructure for the city of London, Ontario to develop a viewshed methodology that recognizes that ‘neighborhood’ is unique …

Data-Driven Methodologies For Mapping Cultural Heritage: The Case Of The National Coal Heritage Area, West Virginia, Usa, Hossain Mohammad Nahyan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The objective of this dissertation was to develop a comprehensive, data-driven spatial framework for characterizing the complex cultural landscape of the National Coal Heritage Area (NCHA) in West Virginia. By transitioning away from traditional, heuristic spatial mapping, this research integrates advanced spatial statistics, machine learning, and GIS-based methodologies to objectively quantify the physical, visual, and cultural dimensions of the post-mining environment. The research is structured around three interconnected empirical studies, each addressing a specific scale of the Landscape Character Assessment (LCA) framework to support heritage conservation and sustainable spatial planning. The first paper focused on landform classification, developing an automated …

Spatial Patterns And Morphometric Evolution Of Sinkholes In Response To Watershed Hydrogeomorphology: Examples From A Karst Landscape In The Missouri Ozarks, Usa, Marcell Tóth

Graduate Theses/Dissertations

Sinkholes are characteristic enclosed depressions with internal drainage connecting the surface and subsurface karst hydrologic system. Their morphological evolution involves gradual subsidence of the ground surface and hazardous collapses. Therefore, understanding sinkhole morphometry and linked spatial distribution is critical for managing geohazards in karst watersheds. Sinkhole occurrence shows spatial variability based on watershed geomorphological attributes, surficial hydrological patterns, hydrogeological and geological settings. The aim of this research is to investigate morphometric properties and distribution of sinkholes in the carbonate karst-dominated lands of Mark Twain National Forest in Missouri, USA. The specific objectives were to (1) identify sinkhole clusters based on …

Identifying Socio-Economic Areas Of Concern Towards Inclusion In Gis Hazard Management In Detroit, Michigan., Ernestina Osei

Master's Theses or Doctor of Nursing Practice

This study examined the spatial distribution of socio-economic vulnerability and accessibility to essential services in Detroit, Michigan, using a Geographic Information Systems (GIS)-based approach. The research aimed to identify areas of greatest concern by integrating socio-economic indicators, including poverty, housing vacancy, income, unemployment, and crime, with spatial measures of access to critical infrastructure such as hospitals, fire stations, police stations, and grocery stores. Both feature-based and raster-based analyses were employed, including buffer and overlay analysis, service area evaluation, Euclidean distance modeling, and multi-criteria suitability analysis.

A mixed-methods framework was adopted to combine quantitative spatial analysis with contextual understanding of urban …

Beyond Discrete Indicators: Modeling Intersectional Flood Vulnerability, Sina Razzaghi Asl, Eric Tate, Christopher T. Emrich, Md Asif Rahman, Kaeleb Royster

Political Science & Geography Faculty Publications

Social vulnerability to flooding is shaped by intersectional social marginalization, yet most quantitative assessments employ indicators of single populations. This study applies spatial machine learning to examine how the intersectional social vulnerability indicators of poverty-race, poverty-housing tenure, and race-housing tenure compare with traditional discrete indicators of single populations in predicting flood exposure in California. Using geographically weighted random forests and partial dependence plots, we model spatial heterogeneity and non-linear relationships between social vulnerability and exposure. We quantified flood exposure using a population-adjusted measure derived from building footprints and modeled 500-year fluvial and pluvial flood hazard. The results reveal distinct explanatory …