Spatial Science Commons^™

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

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 ...

Hydrological Drought Forecasting Using A Deep Transformer Model, Amobichukwu C. Amanambu, Joann Mossa, Yin-Hsuen Chen

University Administration Publications

Hydrological drought forecasting is essential for effective water resource management planning. Innovations in computer science and artificial intelligence (AI) have been incorporated into Earth science research domains to improve predictive performance for water resource planning and disaster management. Forecasting of future hydrological drought can assist with mitigation strategies for various stakeholders. This study uses the transformer deep learning model to forecast hydrological drought, with a benchmark comparison with the long short-term memory (LSTM) model. These models were applied to the Apalachicola River, Florida, with two gauging stations located at Chattahoochee and Blountstown. Daily stage-height data from the period 1928–2022 ...

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.

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 ...

Forecasted Climate Analysis From 2000 To 2100 Using Rcp 4.5 And Rcp 8.5 Model Scenario As A Hazard Early-Warning System In Prague City, Czech Republic, Risty Khoirunisa

Smart City

In the last decades, the increasing number of populations in urban areas is dramatically increased. According to the to the 2018 Revision of World Urbanization Prospects more people live in urban areas, around 55 percent of the world’s population in 2018 and are projected into two thirds of global population in 2050. As the world continues to growth, the lands need to be converted thus deforestation happen. If this continues, the greenhouse gas emission will increase and the climate change will become a threat in the future. Therefore, it become essential to understand how the climate will change in ...

“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

GIS Center

No abstract provided.

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

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 ...

Park Equity Modeling: A Case Study Of Asheville, North Carolina, Anisa Young

All Theses

Parks and greenspaces are publicly available entities that serve the vital purpose of promoting multiple aspects of human welfare. Unfortunately, the existence of park disparities is commonplace within the park setting. Specifically, marginalized individuals encounter limited park access, insufficient amenity provision, and poor maintenance. To remedy these disparities, we propose a process in which we select candidate park facilities and utilize facility location models to determine the optimal primary parks from both existing and candidate sites.

We note that platforms currently exist to identify the geographical areas where residents lack sufficient access to parks. However, these platforms do not yet ...

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 ...

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 ...

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 ...

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

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

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

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

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

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

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 ...