Open Access. Powered by Scholars. Published by Universities.®

Geographic Information Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Spatial Science

2022

Institution
Keyword
Publication
Publication Type

Articles 1 - 30 of 40

Full-Text Articles in Geographic Information Sciences

A Multi-Method Exploration Of Health Disparities And Covid-19 Incidence And Mortality In The United States, S M Asger Ali Dec 2022

A Multi-Method Exploration Of Health Disparities And Covid-19 Incidence And Mortality In The United States, S M Asger Ali

Theses and Dissertations

The 21st century experienced several health crises, especially in the form of infectious disease outbreaks such as the SARS outbreak in 2003, the H1N1 in 2009, and Ebola outbreaks in 2013. However, none has produced a worldwide socio-economic and health impact compared to the recent pandemic, known as COVID-19. As of October 4, 2022, more than 614 million cases with 6 million deaths have been reported worldwide. The United States is currently in the leading position with more than 98 million cases and 1 million deaths. The pandemic, however, did not impact the entire region similarly, and the infections …


Lidar Field Data Collection For 3d Cartography, Danny Jang Dec 2022

Lidar Field Data Collection For 3d Cartography, Danny Jang

Symposium of Student Scholars

Remote sensing using LiDAR technology for terrestrial mapping can be done using airborne or ground-based methods. Ground-based methods of LiDAR scanning have the favorable advantage of being much more cost-effective compared to the majority of aerial choices (balloons and drones might overcome this advantage in the future) for small-area large-scale cartography. LiDAR data collection has been traditionally utilized for urban applications, forest applications, agricultural applications, and geoscience applications. This student research aims to use the data gathered from this process for crafting 3D maps using cost-effective 3D printers.


Species Data And Vector Modeling: Evaluating Datasets For Improved Models Of Ixodes Ricinus Tick Distribution In Europe Under A Changing Climate, Steven Jones Dec 2022

Species Data And Vector Modeling: Evaluating Datasets For Improved Models Of Ixodes Ricinus Tick Distribution In Europe Under A Changing Climate, Steven Jones

Electronic Theses and Dissertations

To increase capacity for monitoring and surveillance of tick-borne diseases, publicly available tick distribution and climate change datasets are required to create accurate predictive distribution models. It is difficult, however, to assess model accuracy and utility when using incomplete datasets.  The more recent development of comprehensive tick databases for Europe and availability of climate change scenarios from multiple IPCC Assessment Reports allows for improved modeling efforts. Multiple tick datasets were combined and three climate change projections were compared by predicting current and future distributions of Ixodes ricinus ticks in Europe using the MaxEnt species distribution model. Overall, much of Europe …


Estimation Of Economic Risk From Coastal Natural Hazards In Louisiana, Rubayet Bin Mostafiz Nov 2022

Estimation Of Economic Risk From Coastal Natural Hazards In Louisiana, Rubayet Bin Mostafiz

LSU Doctoral Dissertations

Louisiana, U.S.A., is among the most vulnerable areas globally to coastal natural hazards, with risk vulnerability likely increasing. The risks associated with non-tropical-cyclone hazards in Louisiana’s coastal zone have been understudied. This research enhances present and future (i.e., 2050) Louisiana risk assessment using locally-weighted, model-based hazard frequency/intensity and population projections.

Results suggest that property risks associated with extreme cold temperature and tornado are and will remain costlier than those for hail and lightning. Property risks of extreme cold temperature and hail are projected to decrease with the expected warming temperatures, with those of all four of these hazards peaking in …


Ancient Lowland Maya Neighborhoods: Average Nearest Neighbor Analysis And Kernel Density Models, Environments, And Urban Scale, Amy E. Thompson, John P. Walden, Adrian Z. Chase, Scott R. Hutson, Damien Marken, Bernadette Cap, Eric Fries, M. Rodrigo Guzman Piedrasanta, Timothy S. Hare, Sherman W. Horn Iii, George J. Micheletti, Shane M. Montgomery, Jessica Munson, Heather Richards-Rissetto, Kyle Shaw-Müller, Traci Ardren, Jaime J. Awe, M. Kathryn Brown, Michael Callaghan, Claire E. Ebert, Anabel Ford, Rafael A. Guerra, Julie A. Hoggarth, Brigitte Kovacevich, John M. Morris, Holley Moyes, Terry G. Powis, Jason Yaeger, Brett A. Houk, Keith M. Prufer, Arlen F. Chase, Diane Z. Chase Nov 2022

Ancient Lowland Maya Neighborhoods: Average Nearest Neighbor Analysis And Kernel Density Models, Environments, And Urban Scale, Amy E. Thompson, John P. Walden, Adrian Z. Chase, Scott R. Hutson, Damien Marken, Bernadette Cap, Eric Fries, M. Rodrigo Guzman Piedrasanta, Timothy S. Hare, Sherman W. Horn Iii, George J. Micheletti, Shane M. Montgomery, Jessica Munson, Heather Richards-Rissetto, Kyle Shaw-Müller, Traci Ardren, Jaime J. Awe, M. Kathryn Brown, Michael Callaghan, Claire E. Ebert, Anabel Ford, Rafael A. Guerra, Julie A. Hoggarth, Brigitte Kovacevich, John M. Morris, Holley Moyes, Terry G. Powis, Jason Yaeger, Brett A. Houk, Keith M. Prufer, Arlen F. Chase, Diane Z. Chase

Department of Anthropology: Faculty Publications

Many humans live in large, complex political centers, composed of multi-scalar communities including neighborhoods and districts. Both today and in the past, neighborhoods form a fundamental part of cities and are defined by their spatial, architectural, and material elements. Neighborhoods existed in ancient centers of various scales, and multiple methods have been employed to identify ancient neighborhoods in archaeological contexts. However, the use of different methods for neighborhood identification within the same spatiotemporal setting results in challenges for comparisons within and between ancient societies. Here, we focus on using a single method—combining Average Nearest Neighbor (ANN) and Kernel Density (KD) …


Arcmap Basics: Wpes, How Do I...? Quick Guide, Bea E. Van Dam Nov 2022

Arcmap Basics: Wpes, How Do I...? Quick Guide, Bea E. Van Dam

Non-Thesis Student Work

This document is a quick guide to performing common geospatial tasks in ArcMap 10.x (ArcGIS Desktop) for new users. Covered are basic navigation of the ArcMap window; importing, opening, querying, editing, and exporting data; and map preparation. In many cases, there are multiple ways to accomplish different tasks; presented here are the methods the author finds easiest or most straightforward. Mouse click sequences and menu/tool layout may differ if using previous versions of ArcMap.


Participatory Mapping To Address Neighborhood Level Data Deficiencies For Food Security Assessment In Southeastern Virginia, Usa, Nicole S. Hutton, George Mcleod, Thomas R. Allen, Christopher Davis, Alexander Garnand, Heather Richter, Prachi P. Chaven, Leslie Hoglund, Jill Comess, Matthew Herman, Brian Martin, Cynthia Romero Nov 2022

Participatory Mapping To Address Neighborhood Level Data Deficiencies For Food Security Assessment In Southeastern Virginia, Usa, Nicole S. Hutton, George Mcleod, Thomas R. Allen, Christopher Davis, Alexander Garnand, Heather Richter, Prachi P. Chaven, Leslie Hoglund, Jill Comess, Matthew Herman, Brian Martin, Cynthia Romero

Political Science & Geography Faculty Publications

Background: Food is not equitably available. Deficiencies and generalizations limit national datasets, food security assessments, and interventions. Additional neighborhood level studies are needed to develop a scalable and transferable process to complement national and internationally comparative data sets with timely, granular, nuanced data. Participatory geographic information systems (PGIS) offer a means to address these issues by digitizing local knowledge.

Methods: The objectives of this study were two-fold: (i) identify granular locations missing from food source and risk datasets and (ii) examine the relation between the spatial, socio-economic, and agency contributors to food security. Twenty-nine subject matter experts from three cities …


Understanding Changes To Human Mobility Patterns In Ontario, Canada During The Covid-19 Pandemic, Ben Klar Sep 2022

Understanding Changes To Human Mobility Patterns In Ontario, Canada During The Covid-19 Pandemic, Ben Klar

Electronic Thesis and Dissertation Repository

Transportation research has shown that socio-demographic factors affect people’s mobility patterns. During the COVID-19 pandemic, some of these effects have changed in accordance with changing mobility needs adapting to the pandemic, including restrictions on in-person gatherings, closure of in-person businesses and working from home. We investigate two gaps in current knowledge in this area of transportation research: to what extent the association between socio-demographic factors and mobility metrics have changed, and how these associations vary across geographic space. We also investigate how closely Ontario’s Public Health Unit boundaries, based on which pandemic restrictions were applied, reflect actual travel regions, and …


Expulsive Greening: A Cross-Sectional Analysis Of Green Gentrification In The Resilience Paradigm, Brooklyn 2010–2020, Rose Jimenez Sep 2022

Expulsive Greening: A Cross-Sectional Analysis Of Green Gentrification In The Resilience Paradigm, Brooklyn 2010–2020, Rose Jimenez

Dissertations, Theses, and Capstone Projects

Background: This project analyzes the spatial coincidence between gentrification typologies and urban greening in Brooklyn, New York from 2010 to 2020. Assets formed under the NYC Green Infrastructure Program were chosen as a proxy for urban greening to represent the spatial practice specifically within the 21st-century climate change resilience paradigm of development. Methods: First, five indexes measuring variations of economic and demographic conditions related to gentrification were applied to Brooklyn for comparative analysis: NOAA’s Social Vulnerability Indicators of Gentrification Pressure, The NYC Heat Vulnerability Index, The Small Area Index of Gentrification, Typologies of Gentrification and Displacement, and The Housing Risk …


Acid Mine Drainage In The Shamokin Creek Watershed: A Spatial Analysis Of Economic And Environmental Consequences Of Coal Mining, Ben Shimer Sep 2022

Acid Mine Drainage In The Shamokin Creek Watershed: A Spatial Analysis Of Economic And Environmental Consequences Of Coal Mining, Ben Shimer

Student Project Reports

No abstract provided.


“I Think I Discovered A Military Base In The Middle Of The Ocean”—Null Island, The Most Real Of Fictional Places, Levente Juhasz, Peter Mooney Aug 2022

“I Think I Discovered A Military Base In The Middle Of The Ocean”—Null Island, The Most Real Of Fictional Places, Levente Juhasz, Peter Mooney

GIS Center

This paper explores Null Island, a fictional place located at 0° latitude and 0° longitude in the WGS84 (World Geodetic System 1984) geographic coordinate system. Null Island is erroneously associated with large amounts of geographic data in a wide variety of location-based services, place databases, social media and web-based maps. Whereas it was originally considered a joke within the geospatial community, this article will demonstrate implications of its existence, both technological and social in nature, promoting Null Island as a fundamental issue of geographic information that requires more widespread awareness. The article summarizes error sources that lead to data being …


Null Island - A Node Of Contention In Openstreetmap, Peter Mooney, Levente Juhasz Aug 2022

Null Island - A Node Of Contention In Openstreetmap, Peter Mooney, Levente Juhasz

GIS Center

No abstract provided.


Temporal Variability Of Public Transit Supply-Demand Gaps In London, On, Canada, William Yang Aug 2022

Temporal Variability Of Public Transit Supply-Demand Gaps In London, On, Canada, William Yang

Undergraduate Student Research Internships Conference

This study looks at early morning hourly public transit use in London, Ontario, from 5:00 AM to 8:59 AM and measures the transit gaps between supply and demand at each hour to identify not only areas of oversupply or undersupply but how their occurrence and positions develop over a temporal scale.


Quantifying Spatial Heterogeneity Of Wild Blueberries And Crop Water Stress Monitoring Using Remote Sensing Technologies, Kallol Barai Aug 2022

Quantifying Spatial Heterogeneity Of Wild Blueberries And Crop Water Stress Monitoring Using Remote Sensing Technologies, Kallol Barai

Electronic Theses and Dissertations

The wild blueberry is one of the major crops of Maine, with significant economic value and potential health benefits. Due to global climate change, drought impacts have been increasing significantly in recent years in the northeast region of the USA, causing significant economic losses in the agricultural sectors. It has been predicted to increase further in the future. Changing patterns of the elevated atmospheric temperatures, increased rainfall variabilities, and more frequent drought events have made the wild blueberry industry of Maine vulnerable, suggesting the adoption of novel approaches to mitigate the negative impacts of global climate changes. Also, wild blueberry …


Exchange And Social Interaction In The Tennessee River Valley: A Geospatial Approach To The Analysis Of Late Archaic Archaeological Sites, Justin S. Bailey Aug 2022

Exchange And Social Interaction In The Tennessee River Valley: A Geospatial Approach To The Analysis Of Late Archaic Archaeological Sites, Justin S. Bailey

Masters Theses

The cultural manifestation known as the Shell Mound Archaic persisted in the lower Midwest and Midsouth region of the Eastern United States for over four millennia beginning in the Middle Archaic ca. 8900 cal BP and terminating at the end of the Late Archaic ca 3200 cal BP. A geospatial approach is applied to the analysis of exotic material exchange of the Late Archaic (ca. 5800-3200 cal BP) to assess how foraging peoples in the Tennessee River Valley interacted and persisted during this time. Exotic material items manufactured from copper, marine shell, steatite, and other nonlocal materials demonstrate distinct spatial …


Gis Automated Delineation And Analysis Of Cancer Service Areas In The United States, Changzhen Wang Jul 2022

Gis Automated Delineation And Analysis Of Cancer Service Areas In The United States, Changzhen Wang

LSU Doctoral Dissertations

Delineating a meaningful and reliable geographic unit pertaining to cancer care is essential in examining geographic variations in cancer care for better analysis, management, and planning. Public health researchers have devoted great efforts to defining various service areas, which; however, lack scientific rigor or are unrepresentative of the highly specialized cancer care markets, and their methods have become obsolete in the era of big data and high geo-computation. This study develops the “Spatially Constrained Leiden (ScLeiden)” method, a network community detection algorithm in Geographic Information Systems (GIS), and applies it to delineate a series of coherent cancer service …


Differentiating Fissure-Fed Lava Flow Types And Facies Using Radar And Lidar: An Example From The 2014–2015 Holuhraun Lava Flow-Field, Gavin Douglas Tolometti, Catherine D. Neish, Christopher W. Hamilton, Gordon R. Osinski, Antero Kukko, Joana R.C. Voigt Jun 2022

Differentiating Fissure-Fed Lava Flow Types And Facies Using Radar And Lidar: An Example From The 2014–2015 Holuhraun Lava Flow-Field, Gavin Douglas Tolometti, Catherine D. Neish, Christopher W. Hamilton, Gordon R. Osinski, Antero Kukko, Joana R.C. Voigt

Earth Sciences Publications

Distinguishing between lava types and facies using remote sensing data is important for interpreting the emplacement history of lava flow-fields on Earth and other planetary bodies. Lava facies typically include a mixture of lava types and record the collective emplacement history of material preserved at a particular location. We seek to determine if lava facies in the 2014–2015 Holuhraun lava flow-field are discernible using radar roughness analysis. Furthermore, we also seek to distinguish between lava types using high resolution Light Detection and Ranging (LiDAR) data. We extracted circular polarization ratios (CPR) from the Uninhabited Aerial Vehicle Synthetic Aperture Radar and …


Influence Of Altitude And Scan Angle On Uas-Lidar Ground Height Measurement Accuracy In Juncus Roemerianus Scheele (Black Needle Rush)-Dominated Marshes, Michael Amelunke May 2022

Influence Of Altitude And Scan Angle On Uas-Lidar Ground Height Measurement Accuracy In Juncus Roemerianus Scheele (Black Needle Rush)-Dominated Marshes, Michael Amelunke

Master's Theses

Coastal marshes are influenced by complex interactions among environmental and human factors. Marsh plant communities exist across subtle elevation gradients which are highly influenced by the local tidal regime. To better understand these dynamic conditions, improved methodologies for acquiring accurate elevation values are a necessity in marsh research and management. However, overestimation of marsh elevation values obtained from remote sensing is common due to vegetation characteristics. The goal of this study was to address this problem by determining the optimum altitude and scan angle for Light Detection and Ranging (LiDAR) collection using an Unmanned Aerial System (UAS) within Juncus roemerianus …


Using Lidar To Estimate Carbon Sequestration Of Evergreen Trees At Eastern Washington University (Ewu) Campus, Cheney, Washington, Kristy A. Snyder May 2022

Using Lidar To Estimate Carbon Sequestration Of Evergreen Trees At Eastern Washington University (Ewu) Campus, Cheney, Washington, Kristy A. Snyder

2022 Symposium

EWU contains a variety of deciduous and evergreen trees across its campus, providing several benefits. However, no comprehensive record exists of the total number, location, species, or ages of these trees. This knowledge can inform facilities of proper care for individual trees and can be used to estimate carbon sequestration on campus. Traditional on-the-ground methods for assessing trees require tree cores or clinometers, making trees susceptible to pests or disease and leading to inaccurate results. Remote sensing using lidar data is a noninvasive, more precise method to measure tree height and subsequently assess tree age. This poster explores using point …


The Spatial Associations Between Crime And Economy In Chicago 2015-2020, Hongtao Huang May 2022

The Spatial Associations Between Crime And Economy In Chicago 2015-2020, Hongtao Huang

Honors Capstones

The severity of the crime is often the most intuitive reflection of whether a region is safe and the top factor for the public when evaluating a region. Economist's list of the safest cities in seven major North American cities, Chicago was ranked at six, just above Dallas. Chicago scored the lowest in personal security, which is closely tied to the crime. Against the backdrop of higher unemployment and prices, this study is interested in how property-based crimes are related to the economic decline in Chicago geographically. The study used the heterogeneity analysis tool Geodetector to investigate the correlation between …


From The Abacus To Big Data: The Evolution Of Data-Driven Planning In The U.S. And Where The Field Will Be Headed, Keuntae Kim May 2022

From The Abacus To Big Data: The Evolution Of Data-Driven Planning In The U.S. And Where The Field Will Be Headed, Keuntae Kim

Journal of Comparative Urban Law and Policy

The nature of planning involves a set of decision-making processes to fulfill people’s needs and expectations of where they live, work, and play. Dealing with the nature of planning—complexity, uncertainty, and disagreement—requires specific tools to explore various aspects of the built environment as a whole. Various types of data have been extracted, transformed, and loaded to describe the past and current conditions of the built environment, and planners have developed and applied data-driven planning tools to explore the knowns and unknowns of the urban futures and transform them into a set of actions based on the goals with consensus. This …


Pluto In Hand: Design And Implementation Of A Location-Based Mobile Augmented Reality Application For Viewing Open Data, Matthew O. Ward May 2022

Pluto In Hand: Design And Implementation Of A Location-Based Mobile Augmented Reality Application For Viewing Open Data, Matthew O. Ward

Theses and Dissertations

Immersive mobile augmented reality (AR) technology has improved while geolocational data volume has grown. City governments can utilize this technology to share their geospatial data with the public, promoting smart city aims. This research describes the design and implementation of a novel open-source ARGIS application to view property tax lot information in New York City. This proof-of-technology demonstrates web-based AR can visualize location-based spatial data.


Using Geospatial Analysis To Evaluate Relationships Between Cancer Incidence And Social Factors In Brooklyn, Ny, Sheena Philogene May 2022

Using Geospatial Analysis To Evaluate Relationships Between Cancer Incidence And Social Factors In Brooklyn, Ny, Sheena Philogene

Theses and Dissertations

This study explored the spatial distribution of cancer incidence in Brooklyn, NY. Using publicly available data, the relationships between cancer incidence and factors linked to cancer were investigated. Furthermore, the study explored the value of using large amounts of data with GIS techniques to quickly analyze geographic trends for cancer.


Multi-Criteria Evaluation Model For Classifying Marginal Cropland In Nebraska Using Historical Crop Yield And Biophysical Characteristics, Andrew Laws May 2022

Multi-Criteria Evaluation Model For Classifying Marginal Cropland In Nebraska Using Historical Crop Yield And Biophysical Characteristics, Andrew Laws

School of Natural Resources: Dissertations, Theses, and Student Research

Marginal cropland is suboptimal due to historically low and variable productivity and limiting biophysical characteristics. To support future agricultural management and policy decisions in Nebraska, U.S.A, it is important to understand where cropland is marginal for its two most economically important crops: corn (Zea mays) and soybean (Glycine max). As corn and soybean are frequently planted in a crop rotation, it is important to consider if there is a relationship with cropland marginality. Based on the current literature, there exists a need for a flexible yet robust methodology for identifying marginal land at different scales, which …


The Plague And The Parthenon: Crusade, Climate Change And Disease In The Early Modern Mediterranean, John Mark Nicovich May 2022

The Plague And The Parthenon: Crusade, Climate Change And Disease In The Early Modern Mediterranean, John Mark Nicovich

Master's Theses

The present study examines the role epidemic diseases, specifically malaria and bubonic plague, played on the course of the Morean War (1684-1699). The Morean War was a major offensive by Christian powers, led by the Venetian Republic, against Ottoman controlled Greece. Christian victories during the war were widely celebrated across western Europe, but even in victory Christian forces took severe casualties from multiple disease outbreaks. First, this study seeks to explain the terrestrial and maritime networks the war was fought over, and how those networks either led the opposing forces into regions of endemic disease (malaria), or how they allowed …


Toward Global Localization Of Unmanned Aircraft Systems Using Overhead Image Registration With Deep Learning Convolutional Neural Networks, Rachel Linck May 2022

Toward Global Localization Of Unmanned Aircraft Systems Using Overhead Image Registration With Deep Learning Convolutional Neural Networks, Rachel Linck

Graduate Theses and Dissertations

Global localization, in which an unmanned aircraft system (UAS) estimates its unknown current location without access to its take-off location or other locational data from its flight path, is a challenging problem. This research brings together aspects from the remote sensing, geoinformatics, and machine learning disciplines by framing the global localization problem as a geospatial image registration problem in which overhead aerial and satellite imagery serve as a proxy for UAS imagery. A literature review is conducted covering the use of deep learning convolutional neural networks (DLCNN) with global localization and other related geospatial imagery applications. Differences between geospatial imagery …


A Decade Of Car-Cyclist Collisions In Louisville: A Spatio-Temporal Analysis., Elizabeth Ferguson Greenwell May 2022

A Decade Of Car-Cyclist Collisions In Louisville: A Spatio-Temporal Analysis., Elizabeth Ferguson Greenwell

Electronic Theses and Dissertations

This thesis has considered factors of the built environment to discover if cay-cyclist collisions display any patterns that could be used to improve cycling safety. This thesis contains an introduction, a literature review, an overview of the study area and data, a description of the methods, results, and discussion and conclusion section. This thesis is significant because it has been the first study to consider cyclist volume as an explanatory variable of the spatiality of car-cyclist dependence for Louisville, Kentucky. Through descriptive and spatial statistics, trends in car-cyclists were identified. Collisions occur more frequently in the summer, during commute hours, …


Using Arcgis Pro For A U.S. Embassy Site Suitability Study: Douala, Cameroon, Derek Romanek Apr 2022

Using Arcgis Pro For A U.S. Embassy Site Suitability Study: Douala, Cameroon, Derek Romanek

Symposium of Student Scholars

Using ArcGIS Pro for a U.S. Embassy site suitability study: Douala, Cameroon

Derek Romanek (Uli Ingram), Department of Geography and Anthropology, Kennesaw State University, Kennesaw, GA, 30144

The Bureau of Overseas Building Operations wants to know the ideal location for a U.S. Embassy in the Douala, Cameroon. The suitability for the U.S. Embassy location will be determined from feature layer data acquired from ArcGIS Online. The ideal location will be accessed through vacant parcels and industrial sites, points of interest, vulnerabilities to natural hazards, social and economic issues, and a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis. Through ArcGIS Pro, I …


Possible Location For Us Embassy In Copenhagen, Denmark, Danny Jang Apr 2022

Possible Location For Us Embassy In Copenhagen, Denmark, Danny Jang

Symposium of Student Scholars

The purpose of this research is for students to experience using GIS in a professional setting for a public organization. Copenhagen, Denmark hosts numerous embassies for other countries including the USA which was established nearly a century ago! After going through a couple of public opinions left by the locals (Google review), it would be nice if another location was established to assist both USA and Denmark’s bureaucratic needs. The population has surged compared to the numbers from when the building was established, which also changed the geospatial environment that was established when the building was opened. This research will …


Social Vulnerability, Diabetes, And Obesity In Georgia, Danny Jang Apr 2022

Social Vulnerability, Diabetes, And Obesity In Georgia, Danny Jang

Symposium of Student Scholars

This project examines factors of health geography and population geography by examining the spatial correlation between diabetes and obesity prevalence among the population of Georgia. Diabetes and obesity are closely linked together, however, they are still far apart in various aspects which can be from personal to environmental impacts like geographical locations. This research attempts to investigate diabetes and obesity prevalence by examining the SVI of given counties of a state. This project uses data from the Atlanta-based Centers for Disease Control and Prevention (CDC) and Opendata (which can be found on ESRI). Future studies can examine these health factors …