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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 2022 Western University

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 ...


Cityengine As A Tool For Visualizing Neighborhood Change: An Initial Study, Zach Noyes 2022 California Polytechnic State University, San Luis Obispo

Cityengine As A Tool For Visualizing Neighborhood Change: An Initial Study, Zach Noyes

City and Regional Planning

Urban planning is reliant upon genuine public engagement to ensure that planning and policy decisions reflect the ideas shared by the public. Because planning is a profession largely focused on the physical and built implications of more abstract planning concepts, effective graphic communication is critical to securing public support and understanding of policy decisions. ESRI's CityEngine uses procedural modeling technology to render personally-tailored scenes to non-planner members of the public, and shows potential to positively change the way that planners generate graphic representations of physical impacts of policy changes. This initial study establishes a methodology for determining the efficacy ...


Modeling And Predicting Geospatial Teen Crash Frequency, Sonu Mathew, Srinivas S. Pulugurtha, Sarvani Duvvuri 2022 University of North Carolina at Charlotte

Modeling And Predicting Geospatial Teen Crash Frequency, Sonu Mathew, Srinivas S. Pulugurtha, Sarvani Duvvuri

Mineta Transportation Institute Publications

This research project 1) evaluates the effect of road network, demographic, and land use characteristics on road crashes involving teen drivers, and, 2) develops and compares the predictability of local and global regression models in estimating teen crash frequency. The team considered data for 201 spatially distributed road segments in Mecklenburg County, North Carolina, USA for the evaluation and obtained data related to teen crashes from the Highway Safety Information System (HSIS) database. The team extracted demographic and land use characteristics using two different buffer widths (0.25 miles and 0.5 miles) at each selected road segment, with the ...


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

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 2022 Northern Illinois University

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 ...


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 2022 University of Utah

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 ...


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

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 2022 CUNY Hunter College

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 2022 University of Nebraska-Lincoln

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

Dissertations & Theses in Natural Resources

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 takes advantage ...


The Plague And The Parthenon: Crusade, Climate Change And Disease In The Early Modern Mediterranean, John Mark Nicovich 2022 University of Southern Mississippi

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 ...


Human Dimensions Of Natural Resources: A Case Of Farmers In Northern Rwanda, JEAN FRANCOIS REGIS NISENGWE 2022 University of Tennessee, Knoxville

Human Dimensions Of Natural Resources: A Case Of Farmers In Northern Rwanda, Jean Francois Regis Nisengwe

Doctoral Dissertations

As food demand increases globally, the world faces the challenge of feeding everyone without harming the environment. Meeting this challenge requires increased food production. Paradoxically, increased food production can harm the environment and natural resources. Change in consumption patterns offers an opportunity to reconcile the increase in food production and environmental protection. However, consumption patterns can only change if they are perceived first, then acted upon. Research shows that people who perceive their consumption of natural resources are more likely to conserve them as they can see how much they are consuming. This study investigated perceptions of natural resources and ...


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

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 2022 University of Louisville

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 ...


Red Wolf Reintroduction: Land Ownership And Protection Status Analysis, Anna Frisbie 2022 University of Richmond

Red Wolf Reintroduction: Land Ownership And Protection Status Analysis, Anna Frisbie

Environmental Studies Senior Seminar Projects

Red wolves (Canis rufus) are critically endangered, and currently the only wild population exists in northeast NC (“Red Wolf,” FWS, n.d.). Here, I use geospatial analysis to investigate the potential for another wild population to establish in the Delmarva Peninsula. I consider land ownership and protection status because these factors influence local public support (Nie, 2001; Naughton-Treves et al., 2003; Berger-Tal et al., 2020), as well as reintroduction success (Carroll et al., 2003; Wolf & Ripple, 2018). I compare the ownership and protection status of land in the Delmarva Peninsula to that in the Albemarle Peninsula, where the red wolf ...


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

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 ...


Possible Location For Us Embassy In Copenhagen, Denmark, Danny Jang 2022 Kennesaw State University

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 ...


Social Vulnerability, Diabetes, And Obesity In Georgia, Danny Jang 2022 Kennesaw State University

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 ...


The Role Of Physical Geographic Features In Video Games, Dexter Ferguson 2022 Jacksonville State University

The Role Of Physical Geographic Features In Video Games, Dexter Ferguson

Theses

This thesis examines how physical geographic features affect individuals when interacting with video game environments. There are very few studies on the geography of video games. I aim to bridge the gap between game studies and geography, a naturally occurring link. The observation of elements such as the geography of an area is critical when exploring an individual’s perception of a video game environment. Individuals interact with the geography of their location on a day-to-day basis, whether it be physical or human geography; how they can relate a video game’s geography to the real world dramatically affects their ...


Osm Science - The Academic Study Of The Openstreetmap Project, Data, Contributors, Community, And Applications, A. Yair Grinberger, Marco Minghini, Levente Juhasz, Godwin Yeboah, Peter Mooney 2022 Hebrew University of Jerusalem

Osm Science - The Academic Study Of The Openstreetmap Project, Data, Contributors, Community, And Applications, A. Yair Grinberger, Marco Minghini, Levente Juhasz, Godwin Yeboah, Peter Mooney

GIS Center

This paper is an Editorial for the Special Issue titled “OpenStreetMap as a multidisciplinary nexus: perspectives, practices and procedures”. The Special Issue is largely based on the talks presented in the 2019 and 2020 editions of the Academic Track at the State of the Map conferences. As such, it represents the most pressing and relevant issues and topics considered by the academic community in relation to OpenStreetMap (OSM)—a global project and community aimed to create and maintain a free and editable database and map of the world. In this Editorial, we survey the papers included in the Special Issue ...


Locational Error In The Estimation Of Regional Discrete Choice Models Using Distance As A Regressor, Giuseppe Arbia, Paolo Berta, Carrie B. Dolan 2022 Catholic University of Sacred Heart

Locational Error In The Estimation Of Regional Discrete Choice Models Using Distance As A Regressor, Giuseppe Arbia, Paolo Berta, Carrie B. Dolan

Arts & Sciences Articles

In many microeconometric studies distance from a relevant point of interest (such as a hospital) is often used as a predictor in a regression framework. Confidentiality rules, often, require to geo-mask spatial micro-data, reducing the quality of such relevant information and distorting inference on models’ parameters. This paper extends previous literature, extending the classical results on the measurement error in a linear regression model to the case of hospital choice, showing that in a discrete choice model the higher is the distortion produced by the geo-masking, the higher will be the downward bias in absolute value toward zero of the ...


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