Geographic Information Sciences Commons^™

Optimizing Php Api Calls With Pagination And Caching, Parsharam Reddy Sudda

Dissertations, Master's Theses and Master's Reports

The Keweenaw Time Traveler (KeTT) project is devoted to mapping the historical and social landscapes of the Keweenaw Peninsula. During the project, it was discovered that the server-side performance needed improvement. To address this issue, the "Optimizing PHP API Calls with Pagination and Caching" initiative was launched. This initiative focused on refining API calls, implementing server caching and pagination, and fortifying security against common vulnerabilities. The project successfully mitigated risks associated with SQL Injection and XSS through meticulous code enhancements while improving error handling. Additionally, the introduction of Scroll-Induced Pagination optimized data delivery, significantly reducing response times, and elevating the …

Mapping Accessibility To Emergency Care Using Public Transportation, Bach Tran

Honors Undergraduate Theses

Intro: Public transit offers various advantages for both communities and individuals in terms of mobility and has the potential to serve as a practical alternative to private motorized transportation. Timely and convenient public transit becomes a lifeline for people who cannot access other types of transportation, especially when it comes to emergency care. Method: We built a private network analysis within ArcGIS Pro using coordinate data from hospitals and stand-alone emergency rooms as designated by the North American Industrial Classification System (NAICS) and public transit data from Orlando, FL. Establishing the accessible time as 30 minutes, we computed and visualized …

Investigating Flash Flood Occurrence Using Negative Binomial Models In Maryland, United States Of America, Zainab O. Akinsemoyin

College of Graduate Studies: Theses & Dissertations

Globally, as extreme weather patterns intensify, flash floods have emerged as one of the most destructive and immediate environmental threats. In Maryland, flash floods are particularly concerning due to its diverse topography and increasing urban development, which exacerbates runoff and overwhelms drainage systems. The state has experienced significant flash flood events, highlighting the need for effective models to manage risks and inform mitigation strategies. While regression models such as the Negative Binomial (NB) and Zero-Inflated Negative Binomial (ZINB) are commonly used for count data analysis, their application to flash flood modeling in the USA, including regions like Maryland, remains limited …

Road Extraction On Remote Sensing Imagery: Historical Mapping Of The Brazilian Amazon, Jonas Paiva Botelho Jr

Graduate Theses/Dissertations

This work proposes an artificial intelligence model based on U-Net architecture to map road networks in the Brazilian Amazon. Over the years, the Amazon region has been heavily exploited, leading to increased deforestation rates, contributing to CO2 emissions, amplifying global warming, and causing a disturbance in local fauna and flora. The expansion into the forest by illegal miners, loggers, and land grabbers can be tracked down by the construction of roads, which we can refer to as the arteries of deforestation. Previous works on the matter proposed algorithms that use high-resolution imagery to map roads precisely. However, this work approach …

Stories, People, And Industrial Heritage Landscapes: Integrating Spatial Narratives And Deep Mapping For Use In Public Heritage, James A. Juip

Dissertations, Master's Theses and Master's Reports

Understanding the complexity of the industrial heritage landscape and working towards its holistic representation are long standing challenges for heritage practitioners and scholars alike. This dissertation focuses on addressing a gap in industrial heritage scholarship by addressing the question; can the integration of spatial narratives and deep mapping theory and practice improve upon the practice of public discourse in industrial heritage? Community heritage narratives are an important intangible aspect of the industrial heritage landscape that forms a discursive relationship with authorized heritage sources. Influencing this discourse can alter contemporary power relations that intertwine modern issues with perceptions of the past. …

Lidar Remote Sensing And The Monitoring Of Brazilian Amazon Forest Structure: Tackling Issues And Finding New Possibilities, Pedro Valle De Carvalho E Oliveira

Electronic Theses and Dissertations

The Amazon is the largest tropical forest in the world and around 60% of it is in Brazil. The amount of carbon stored in the region uncertain, the impacts of land use and climate changes are unknown, and what drives the dynamic of the forest structure is still under a heated debate. Optical remote sensing has been used for a long time to assist the monitoring of the Brazilian Amazon. However, optical remote sensing only allows a comprehensive study from the top of the forest canopy. In contrast, lidar remote sensing of forests can produce robust information regarding the canopy …

A Tale Of Two Working Landscapes, Sage C. Sutcliffe

Graduate Student Theses, Dissertations, & Professional Papers

No abstract provided.

Essays On Public Finance And International Finance, Deepti Sikri

Electronic Theses & Dissertations (2024 - present)

The first chapter examines New York State's Fiscal Score Monitoring program to find the effect of two quality labels on school district outcomes: fiscal stress scores, reflecting the budget solvency, and environmental stress labels reflecting economic and demographic conditions. Using the NYS school district data from 2013-22, I employ the regression discontinuity design to find the effect of stress labels, in response to the political pressure on district finances, housing, and school outcomes. I find the effect of fiscal stress label is limited, leading to a decrease in the fund balance ratio and an increase in the tax rate. However, …

Assessment Of Spatial Distribution Patterns And Infestation Risk Over Time Of Spotted Lanterfly (Lycorma Delicatula) In New York State, Alanna Richman

Electronic Theses & Dissertations (2024 - present)

Spotted Lanternfly (Lycorma delicatula) is an invasive treehopper native to Asia. It was first introduced to Pennsylvania in 2014, and as of 2020 it has expanded to New York state. Their preferred host tree is the invasive tree of heaven (Ailanthus altissima), but they will feed on over 173 different plants worldwide. Preferred host species in New York state include agricultural vegetation such as grape vines and fruit trees. Positive Spotted Lanternfly site data collected by the New York Department of Agriculture and Markets and iMapInvasives were analyzed using ArcGIS Pro to assess spatial distribution patterns. …

Opportunities And Challenges In Monitoring Cultivated Land Red Line In Big Data Era, Jinwei Dong, Yifeng Cui, Yuanyuan Di, Xuan Gao, Xi Chen, Linsheng Yang, Yumei Cai, Jia Ning, Jiyuan Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The demographic reality of a large population and limited land resources in China necessitates the implementation of the world’s most stringent cultivated land protection system. Effective, timely, and accurate monitoring of the status of cultivated land protection red line is essential to ensuring cultivated land protection and food security. The development of cutting-edge technologies such as remote sensing big data, cloud computing, and artificial intelligence has provided new opportunities for cultivated land control and monitoring. This article systematically elaborates on the current research status and challenges in the field of cultivated land protection redline control and monitoring, including the establishment …

In The Hot Seat: Acquiring Kernel Density Heat Map Design Guidance Through Delphi And Survey Methods, Lauren Eileen Mckinney-Wise

Dissertations and Theses

Kernel density heat maps have emerged as a new, popular thematic map type. Yet, unlike other thematic map types, little if any published guidance exists for effective heat map design. This is significant because maps are highly persuasive objects that are often utilized to communicate important information, but maps can also be misleading and misunderstood. Therefore, proper guidance for heat map creation is critical for cartographers to create maps that convey geographic information successfully.

To address this literature gap, I used a modified Delphi method and an online survey to investigate several questions, including understanding what cartographic experts think are …

Quantifying Current Soil Brine Contamination Within The Smackover Oil Field In Arkansas Using Multispectral Digital Imagery, Victoria Williams

Electronic Theses and Dissertations

A remote sensing study was performed to quantify current soil brine contamination across the historic Smackover Oil Field in south-central Arkansas, United States. The oil field was established in 1922 and was not subject to the future waste regulations created by the Arkansas Oil and Gas Commission. Brine is a waste product of oil manufacturing which contains water with high salt levels. The storage and transport of brine in the oil field created landscape scarring across the study area.

Landsat 9 multispectral digital imagery was utilized to create supervised classification maps based on earthen pits and creek scarring across the …

Geospatial Integrated Urban Flood Mapping And Vulnerability Assessment, Md Tazmul Islam, Md Tazmul Islam

Theses and Dissertations

Natural disasters like flooding have always been a big problem for countries around the world, but as the global climate changes and the number of people living in cities keeps growing, the threat of flooding has become a lot worse. Even though many studies have been conducted on flood mapping and vulnerability assessment in urban areas, this research addresses a significant knowledge gap in this domain. First, we used a flood depth estimation approach has been used to address the overestimation of urban flood mapping areas using Sentinel-1 images. Ten different combinations of the two initial VH and VV polarizations …

Socioeconomic Geographies And Municipal Decision Making Of New York's Climate Smart Communities Program, Stephen Corbisiero

Digital and Data Studies Student Scholarship

Nearly all of New York’s residents live in a municipality designated as a Climate Smart Community, but few are familiar with one of the state’s major legislative accomplishments. The initiative allows municipalities to earn points toward a climate smart certification by implementing sustainable technologies in their communities, which in turn makes them eligible for increased grant funding from New York State. As climate change begins to have a greater impact on human and natural life, investing in green infrastructure has never been more important. New York’s Climate Smart Communities program is widespread, but adoption rates vary greatly throughout the state …

Airbnb Valuation: A Machine Learning Approach, Katherine Wyatt

Graduate Theses and Dissertations

This thesis uses a geospatially-enhanced, machine learning approach to investigate variations in rental success on the peer-to-peer property sharing website Airbnb.com. Geographic factors, listing attributes and amenities, customer response metrics, and host attributes are included in decision tree modeling to predict the short-term probability of receiving a review. The most important variables in increasing model accuracy are assessed and variations in the importance of these variables investigated using Shapley values.

Sc-Fuse: A Feature Fusion Approach For Unpaved Road Detection From Remotely Sensed Images, Aniruddh Saxena

School of Computing: Dissertations, Theses, and Student Research

Road network extraction from remote sensing imagery is crucial for numerous applications, ranging from autonomous navigation to urban and rural planning. A particularly challenging aspect is the detection of unpaved roads, often underrepresented in research and data. These roads display variability in texture, width, shape, and surroundings, making their detection quite complex. This thesis addresses these challenges by creating a specialized dataset and introducing the SC-Fuse model.

Our custom dataset comprises high resolution remote sensing imagery which primarily targets unpaved roads of the American Midwest. To capture the diverse seasonal variation and their impact, the dataset includes images from different …

Development Of A Historic Digital Elevation Model (Hdem) From Archival Aerial Imagery Over The Black Mountain Alluvial Fan, Canada, Emma Menio

Graduate Theses and Dissertations

In a rapidly changing Arctic, reconstructing landscapes pre-warming is essential to understanding impacts due to climate-inducted geomorphic change. High-latitude elevation datasets extend temporally back to the 2000s, while region-wide warming became measurable in the 1980s. Historic aerial imagery archives provide datasets of high-resolution imagery from the mid- to late- 1900s with stereo-capability that can be harnessed to create historic digital elevation models, or hDEMs. A major issue with reconstructing a surface from the past is finding a way to constrain it in space, given a lack of ground control from that era, especially at high latitudes. The main purpose of …

Age, Size, And Composition Of Selected Old-Growth Shortleaf Pine Stands In The Upper Buffalo River, Arkansas, Willa Avery Thomason

Graduate Theses and Dissertations

Shortleaf pine (Pinus echinata) approaches the westernmost limits of its range in the Arkansas Ozarks. Despite heavy logging of shortleaf pine throughout its range during the 19th and 20th centuries, the species was not easily accessible for harvest and transportation in the most rugged areas of the Boston Mountains and, as a result, there are a few extant stands of old-growth shortleaf pine in the region. The shortleaf pine stands in the interior Boston Mountains are unusual in that they exist primarily above bluff lines at topographic breaks in the hardwood canopy and are not disturbed by fire as frequently …

Gis For Public Health: Exploring Diseases Of Despair In Metro Atlanta, Chanice Brown

Symposium of Student Scholars

Diseases of despair are a set of behaviors that can cause a significant amount of mortality within a population. These behaviors, which typically include drug abuse, alcoholism, and suicides, have existed for quite some time. However, the idea of “Diseases of Despair” is fairly recent. In 2015, researchers Anna Case and Angus Deaton first coined the concept while studying an increase in mortality and decrease in life expectancy amongst middle-aged, white populations in different rural communities. They theorized that external pressures, like economic insecurity and increased morbidity, were driving these populations to seek out dangerous methods to relieve their stress. …

Spatial Associations Of Liver Disease Rates With Socioeconomic And Health Risk Factors In Georgia, Nguyet Le

Symposium of Student Scholars

According to the CDC Cancer Statistics Report in 2020, Liver and Intrahepatic Bile Duct is the 6th leading cancer in both USA and the State of Georgia ranked by Rates of Cancer Death. Aflatoxin-containing foods, alcohol consumption, smoking, overeating, and other risky behaviors are among the factors linked to liver diseases. They have also been related to the socioeconomic status (SES) of individuals. The behaviors and SES of individuals are affected by the socioeconomic characteristics of the communities where they live. However, the relationships between the rates of liver diseases and community-level socioeconomic factors are not well studied. The objective …