Geographic Information Sciences Commons^™

Development Indicators Of Health Services Using Geographical Information Systems In Beit Lahia, Gaza, Saleh Abu Amra

Journal of the Arab American University مجلة الجامعة العربية الامريكية للبحوث

The study aimed to identify the health services and contribute to solving their problems in Beit Lahia, Gaza in light of urban indicators in terms of quantity, type and the efficiency and effectiveness of spatial distribution. To achieve this, the population of the study was studied in terms of its size, growth and sustainable development of health services. The results showed that the population was growing at a high rate as it multiplied about 25, 8 times in an estimated period of (50) years with poor health services. That is, the health services constituted 0,06% of the total concern as …

Assessing The Mental Health Of Women At The Intersection Of Intimate Partner Violence And Animal Cruelty: Personal And Population Level Risk Factors For Co-Victimization, Alaina M. Beauchamp

Dissertations and Theses (Open Access)

One predictor of intimate partner violence (IPV) occurring in the home is pet abuse. The high prevalence of pet cruelty among IPV relationship can create a significant barrier to seeking help due to the inability to bring the pet or concern for the pet’s wellbeing. This human-animal bond is a more common source of emotional support among victims with experiences of pet abuse, as opposed to women whose pets had not been abused. This study 1) explored the relationship between victims of IPV and their pets, the dynamics and characteristics of situations of co-victimization (i.e., abuse of both a human …

Defining A Region: The Great River Road In Missouri, Evan Arthur Telle, David R. Perkins Iv

Midwest Social Sciences Journal

The Great River Road (GRR) is an established roadway along both the east and west banks of the Mississippi River which serves to connect people to the geography of this area. In this study, the socio-economic characteristics present in Missouri are analyzed to determine if a more formal GRR region exists in Missouri. County-level data from five-year estimates (2014 – 2018) conducted by the United States Census Bureau are used to give greater insight on any unifying characteristics the GRR may have in Missouri. Social, economic, housing, and demographic information combined with spatial pattern analysis help identify evidence of a …

A Subspecies-Level Database Of Amazonian Bird Distributions, With Inferences On Suture Zones And Conservation, Marco Antonio Rego

LSU Doctoral Dissertations

Amazonia has the largest and most biodiverse tropical forest on the planet. However, the distributions of its species are still poorly understood, even for well-studied vertebrates such as birds. Available distribution maps for Amazonian birds often lack accuracy in delimiting the area where species occur. Existing distributional information for Amazonian birds is often limited to species-level level taxonomy, even though many Amazonian bird subspecies represent biological species. Here, I investigate the geographic distributions of 4,148 bird taxa (species and subspecies) using museum scientific specimens as the primary source of data. To build the data base I use more than 600,000 …

Mapping Forest Structure In Mississippi Using Lidar Remote Sensing, Nitant Rai

Theses and Dissertations

This study aimed at evaluating the agreement of spaceborne Light Detection and Ranging (lidar) ICESat-2 canopy height with Airborne Laser Scanning (ALS) derived canopy height to inform about the performance of ICESat-2 canopy height metrics and understand its uncertainties and utilities. The agreement was assessed for different forest types, physiographic regions, a range of percent canopy cover, and diverse disturbance histories. Results of this study suggest that best agreements are found using strong beam data collected at night for canopy height retrieval using ICESat-2. The ICESat-2 showed great potential for estimating canopy heights, particularly in evergreen forests with high canopy …

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 21^st 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 …

Geologic Mapping Of The Sparta 7.5-Minute Quadrangle In Northern Mississippi Via Remote Sensing, Traditional Geologic Survey, And Applied Geospatial Information Systems Methods, Rayford Dean Parnell

Theses and Dissertations

Traditional geologic mapping involves substantial time and labor in the field as geologic contacts are manually examined and interpreted. The processes of mapping geologic contacts can be condensed into a quicker and less laborious process using advances in remote sensing and GIS (geospatial information systems), including increased resolution and computerized data management and interpretation. Application of these advances reduces the costs and time of geologic mapping. The Sparta 7.5-minute quadrangle provides a mostly unaltered view of regional Paleocene and Upper Cretaceous geology due to its rural locale, lack of development, and stream topography. Recently LiDAR (Light Detection And Ranging) survey …

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.

Utilization Of Gis In Tracking Disinterment And Movement Of Unknown Us Wwii War Dead: Foundations For A Geospatial Approach To Addressing Commingled Remains, Ella Axelrod

Department of Anthropology: Theses and Student Research

In the aftermath of World War II, the US was faced with the monumental task of finding and identifying over 405,000 service members who did not survive the conflict (McDermott, 2005, p. 1). Of these 405,000, 81,000 remain missing and 2,498 remain unidentified in cemeteries across Europe alone (American Battle Monuments Commission, 2022). Often, these individuals were interred and disinterred multiple times, crossing the continent in the journey from loss incident or battlefield to their final resting place. Commingling, the accidental mixing of remains, is an ever-present concern in the forensic identification of individuals from mass casualty incidents (Belcher et …

Flood Hazard And Risk Analyses In The Republic Of Panama: A Case Study From The Juan Diaz River Watershed In Panama City, Virgilio De Jesus Quintero

Graduate Theses and Dissertations

Flooding is the natural hazard with most occurrences in Panama. Its frequency and magnitude have increased over the years. This dissertation analyzes Panama’s flood activity in order to better understand flood hazards, the current evolution of Panamanian perceptions of flood risk, and the incorporation of indigenous knowledge used to mitigate flood hazards. The first chapter developed a baseline of past and current flood inventory in Panama, which required the use of flood historical data, thematic cartography, and Geographic Information Science (GIS). This chapter shows Panama has experienced floods in varying degrees. Through the spatial and temporal distribution of floods from …

Spatial Analysis Of Housing Vacancy : Time Lag, Spillover Effects, And Spatial Heterogeneity, Yutian Feng

Legacy Theses & Dissertations (2009 - 2024)

The housing vacancy issue has long been a concern for community development and urban planning, especially in old industrial cities since the second half of the 20th century. Following the subprime lending crisis in 2007, the problem of housing vacancy again attracts attention as it causes problems like housing inequity, neighborhood redevelopment, and spatial justice in most U.S. cities. This dissertation systematically builds up an analytical framework to explore the mechanism of housing vacancy, using Buffalo urban area as a case study. Firstly, the research pays attention to the factors contributing to housing vacancy. The dissertation also investigates if there …

Spatiotemporal Change Detection Of The Alpine Meadows At Holcomb Valley, San Bernardino Mountain National Forest, Using Gis And Remote Sensing Techniques, Rama Ewing

Electronic Theses, Projects, and Dissertations

Holcomb Valley, with a general elevation between 2200-2257m, is in the Northeast of Big Bear Lake in the San Bernardino Mountains. Holcomb Valley is covered by Alpine meadows, unlike most mountain landscapes, which are rarely found in Mediterranean climates such as California. The cultural-environmental history of the San Bernardino Mountains in the past century speaks of intense anthropogenic activities such as timbering, grazing, gold mining, and extreme climate changes (i.e., drought, fires, floods). A study is conducted to identify and calculate the changes in the Alpine meadows at Holcomb Valley. The climatical data has been acquired to compute and visualize …

Orbital Mapping Of Seasonal And Yearly Changes In Co2 And Water Ice On The Southern Polar Cap Of Mars, Victoria Michell Ann Karnes

Graduate Theses and Dissertations

This research exhibits a new foundation for the rates of change in CO2 and water ice on the southern polar cap of Mars, where the annual precipitation cycles are known to fluctuate seasonally between the north and south pole, based on observations from the Compact Reconnaissance Imaging Spectrometer (CRISM). The conventional belief is that both CO2 ice and water ice on the southern polar cap condenses and evaporates over the course of a Martian year (MY), condensing during the Martian spring and summer and evaporating during the Martian fall and winter. With this theory in mind, CO2 and water ice …

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 …

Green On The Map - The Influence Of Conservation Easements On The Naturalness Of Landscapes In The United States, Nakisha Fouch

All Dissertations

Large protected areas have long been the cornerstone of conservation biology, however, in an era branded by the human dominance of ecosystems, regional landscape structure and function are often a consequence of accumulated land-use decisions that may or may not include a nod to conservation planning. With underrepresentation of habitats in publicly protected areas, attention has focused on the function of alternative land conservation mechanisms. Private conservation easements (CEs) have proliferated in the United States, yet assessing landscape-level function is confounded by holder and donor intent, national and regional policy, regional landscape contexts, varying extents, resolution, and temporal scale. Over …

Precision Weed Management Based On Uas Image Streams, Machine Learning, And Pwm Sprayers, Jason Allen Davis

Graduate Theses and Dissertations

Weed populations in agricultural production fields are often scattered and unevenly distributed; however, herbicides are broadcast across fields evenly. Although effective, in the case of post-emergent herbicides, exceedingly more pesticides are used than necessary. A novel weed detection and control workflow was evaluated targeting Palmer amaranth in soybean (Glycine max) fields. High spatial resolution (0.4 cm) unmanned aircraft system (UAS) image streams were collected, annotated, and used to train 16 object detection convolutional neural networks (CNNs; RetinaNet, Faster R-CNN, Single Shot Detector, and YOLO v3) each trained on imagery with 0.4, 0.6, 0.8, and 1.2 cm spatial resolutions. Models were …

Disruption To Ems Service During Flood Scenarios In Western North Carolina, Julia Cardwell

Journal of Rural Social Sciences

Given that the intensity and frequency of flood events will increase under climate change scenarios, the ability to model potential impacts, such as those to healthcare access, will become increasingly important. This study analyzes EMS response time under both a historical (Tropical Storm Fred in August 2021) and a modeled flood event (FEMA’s 100-yr floodplain) in western North Carolina, a predominantly rural area. The results indicate that network disruption during flood events is a concern in the study area, and while the historical event produced moderate disruption, the 100-yr event produced major disruptions throughout the study area. This research emphasizes …

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 …

Poverty In New York City: Social, Demographic And Spatial Characteristics, 1990-2019, Marco Castillo

Center for Latin American, Caribbean, and Latino Studies

Introduction:

This report analyzes trends in poverty in New York City over a period spanning from the year 1990 to 2019, including maps of poverty hot spots in the city.

Methods:

This report uses the American Community Survey PUMS (Public Use Microdata Series) data for all years released by the Census Bureau and reorganized for public use by the Minnesota Population Center, University of Minnesota, IPUMSusa, (https://usa.ipums.org/usa/index.shtml). See Public Use Microdata Series Steven Ruggles, J. Trent Alexander, Katie Genadek, Ronald Goeken, Matthew B. Schroeder, and Matthew Sobek. Integrated Public Use Microdata Series: Version 5.0 [Machine-readable database]. Minneapolis: University of Minnesota, …

A Gis Analysis To Identify Historical, Contemporary, And Spatial Housing Discrimination In Denver, Colorado, Ian Sharkey

Geography and the Environment: Graduate Student Capstones

This study analyzes the relationship between housing discrimination and equity within the City of Denver. This study creates a discrimination index by combining (1) historical Discrimination, (2) contemporary segregation, and (3) housing inequity data into an index to compare the Denver Department of Health and the Environment (DDPHE) 2020 equity index using a local bivariate analysis. This study found a negative linear relationship between the created and Denver equity indexes. The variables used for the discrimination index can explain some of the relationships, but future studies should use more variables for a discrimination index.

Using Gis To Identify Barriers To Access On The Rtd W Line In Denver, Colorado, Tristan Johnson

Geography and the Environment: Graduate Student Capstones

Denver, Colorado has a long history of public transportation usage beginning with horse-drawn streetcars in 1871. As the automobile began to flourish however, the use of public transportation has languished. In 2013, the W light rail line opened serving the West Denver area. As Denver has moved toward a more transit-oriented growth model, this rail line can create a more vibrant future. Using GIS, a better understanding of the barriers to access for light rail travel is obtained and considering key variables outputs are created to assist policy makers in utilizing the W line. By using GIS to address population …

Using Gis-Based Land Use Strategies To Minimize The Impacts Of Urbanization On Agricultural Land And Forest Cover: Case Study Of The City Of Limbe, Cameroon, Lucy Ebude Deba Enomah

USF Tampa Graduate Theses and Dissertations

Urbanization is one of the most dominant phenomena of the 21st century; it is propelled by natural growth and rural-to-urban migration. This latter is typically a product of rural residents moving to urban centres in search of economic opportunities. This phenomenon is accompanied by immense land use and cover changes – predominantly agricultural and forest lands to urban land uses such as buildings and infrastructure. The goal of this research was to contribute to efforts to minimize the impacts of urbanization on agricultural land and forest cover in Limbe, Cameroon, and to develop GIS-based strategies to allocate suitable land for …

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) …

Modeling Airport Catchment Areas: Using Spatial Analysis Approach, Sitong Chen

The Journal of Purdue Undergraduate Research

Th e airport catchment area is the geographic area from which an airport can reasonably expect to draw commercial air service passengers. Th e purpose of this interdisciplinary research is to estimate airport catchment areas using a spatial analysis method for informed airport management. In order to ensure the comprehensiveness and reliability of the research, we chose to analyze the catchment areas for five airports of different sizes and in different geographic locations in the United States. The Huff model, which is usually used in marketing, economics, and retail research, was adopted in this study. We applied this model in …

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 …

Shifting Geopolitics: Reimagining Globalization And Spatial Representation In The Post Covid-19 Era, Victoria H. Bergström

The Journal of International Relations, Peace Studies, and Development

Abstract: Since the emergence of the COVID-19 pandemic, the utilisation of maps has been at the forefront. Maps have informed policymakers, governments, and citizens of the distribution and spread of the disease. Although these maps have been used for various purposes, from border closures to curfews, there is an inherent danger in this widespread usage. Aside from the intricacy of these spatial representations, these widely distributed representations encourage isolationism and the reconception of borders in an increasingly globalised world. Furthermore, new connectivities through digital means have created a potential solution to international exchanges amidst physical limitations. Nevertheless, elitism prevents the …

Embed Coding For 360° Images, Tara Vansell

Documentation

Embed Coding for 360° Images

How To Create Vr Popups On Map Points In Experience Builder, Keegan Favors

Documentation

Instructions for creating VR popups on Map Points in Experience Builder.

Determining Suitable Green Biorefinery Locations In Ireland For Irish Agriculture Using Co-Design, Economic And Geographical Information Systems, Alice Hand

Theses

The aim of this thesis is to investigate potential locations for a suitable green biorefinery model in Ireland, which would offer an opportunity for sustainable diversification to grassland farmers. A mixed method approach was used to collect data to support the design and analyse a green biorefinery model. A three phased methodology was applied representing the Co-design, Economic and the Geographical Information Systems analysis phase. Key stakeholders identified in the co-design phase included farmers, cooperatives, market partners as having a direct impact on a biorefinery. This provided insight to the farmers preferred model. Using these findings, an economic assessment was …

Multi-Decadal Analysis Of Remotely Sensed Vegetation Change In Berea College Forest - Seasonality Of Forest Patterns Using Remote Sensing, Jacob Foushee

The Cardinal Edge

Satellite imagery is a practical and valuable tool for monitoring vegetation condition in forests. The longevity of the USGS/NASA Landsat program along with its medium spatial resolution (30m) gives researchers the ability to make informed statements on land cover generally, and specifically on aspects such as forest conditions. The Landsat program’s nearly 50-year archive of imagery show how Earth’s surface has changed through modern development and how these developments have influenced forests. Google Earth Engine (GEE) is a cloud-based repository of satellite imagery dating as far back as the 1970s. This study utilizes Landsat 5-8 imagery from GEE to calculate …