Spatial Science Commons^™

Performance Of Acoustic Telemetry And Space Use Of Pallid Sturgeon In The Lower Platte River, Nebraska, Christopher F. Pullano

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

Pallid Sturgeon (Scaphirhynchus albus) are centenarian, potamodromous, rheophiles that historically occupied the Missouri River and Mississippi River basins. Listed on the U.S. Endangered Species Act in 1990, population declines are attributed to habitat fragmentation and degradation, as well as overharvest, and hybridization. A knowledge gap exists regarding the extent to which tributaries facilitate key life stages for Pallid Sturgeon. This study evaluated the capacity of acoustic telemetry to monitor the movements of Pallid Sturgeon in a shallow, braided tributary to the Missouri River. The specific objectives were to (1) evaluate the environmental variables influencing the performance of acoustic …

Impact Of Weather Systems On Uav Parameters Using Computational Fluid Dynamics, Saif Aljuhaishi, Yaseen K. Al-Timimi, Basim I. Wahab

Karbala International Journal of Modern Science

Since drones cannot fly in any kind of weather, they are not safe for time-sensitive activities. The study examines how the passage of weather systems in Iraq leads to the ban on drone flights, and how these weather conditions impact the aerodynamic forces of the drone. Hourly climate data for the study area were obtained from ECMWF ERA5 and CAMS in NetCDF format for four climate stations (Erbil, Baghdad, Rutbah, and Basrah). A ScanEagle drone was chosen for this study. The Python programming language was used to perform mathematical operations to calculate the ban on drone flights. ArcGIS 10.8 was …

Explainable Artificial Intelligence To Interpret Spatially-Explicit Impacts Of Future Climate Change On Species Distribution, Lei Song, Amy E. Frazier, Peter Kedron, Diogo S. A. Araujo, Diyang Cui, Brian J. Enquist, Brian Maitner, Cory Merow, Gabriel M. Moulatlet, Efthymios I. Nikolopoulos, Patrick R. Roehrdanz

I-GUIDE Forum

Biodiversity is essential for maintaining ecosystem balance and functionality, providing vital services such as climate regulation. The rapid decline in biodiversity, driven by habitat loss, habitat fragmentation, and climate change, poses significant threats to ecosystems. Climate change, in particular, is fundamentally altering habitats, leading to shifts in species distributions. However, existing research often lacks decomposed contribution analyses, particularly spatially, for a changing individual environmental attributes when modeling species distribution as an aggregate result of all factors and their interactions. Such analyses are crucial for identifying climate refugia and prioritizing conservation efforts. Taking endangered mammal species as an example, this study …

Statistical Downscaling Of Climate Datasets With Deep Generative Model And Bayesian Inference, Guiye Li, Guofeng Cao

I-GUIDE Forum

Facing the challenges of global climate change, precise and high spatial resolution climate data are crucial and in pressing need for scientific research and analysis. However, most existing datasets are only available with very coarse spatial resolution and demand large-scale resolution enhancement. Meanwhile, climate datasets own much more intricate textures than natural images. Statistical downscaling or super-resolution (SR) with the deep-learning-based generative model might be a promising approach to address these challenges. It is worth noting that a learned Bayesian reconstruction with generative models (L-BRGM) method was proposed recently. The proposed Bayesian deep learning framework employs a single pre-trained generative …

Communicating Uncertainty And Cataloging Bias In Spatial Data Science Education, Peter Kedron, Jiahua Chen

I-GUIDE Forum

Uncertainty is an unavoidable part of any spatial analysis, which makes quantifying and communicating uncertainty a requirement of any spatial data science study. However, current curricula leave students understanding the importance of uncertainty and concerned about potential bias, but without an actionable framework to improve their workflows or inferences. We propose a framework rooted in Bloom’s Taxonomy for introducing these concepts to spatial data science students.

Conducting Structure-From-Motion (Sfm) Modeling Of Freshwater Environments Using Unpiloted Aerial Systems (Uas): Challenges And Lessons Learned, Benjamin T. Fraser, Christine L. Bunyon, Russell G. Congalton

Faculty Publications

The pairing of Unpiloted Aerial Systems (UAS) and Structure from Motion (SfM) has provided new capabilities for modeling freshwater environments. Applications of UAS-SfM range from water quality monitoring to the mapping of aquatic vegetation. The models produced provide users with the ability to analyze features at ultra-high-resolutions and across scales not easily achieved through in situ sampling. Despite the demonstrated benefits of UAS-SfM in freshwater and other natural resource disciplines, there remain fundamental technical challenges in the modeling of environments with homogenous surfaces (e.g., water). In this research, the effectiveness of several image collection and processing approaches for the modelling …

Challenges Of Using More Precise Temporal And Spatial Resolution Of Remote Sensing Data For Surface Water Quality Monitoring, Ivan Rykin

Dartmouth College Master’s Theses

Monitoring river suspended sediment concentration (SSC) is critical for environmental challenges such as understanding the fate of thawed permafrost sediment and its impact on global carbon cycling. However, traditional SSC monitoring using Landsat imagery is limited by spatial and temporal constraints, particularly for narrow rivers in cloudy and/or snowy regions.

This study investigates the use of higher spatial (3 m) and temporal (daily) resolution satellite imagery from the PlanetScope constellation to estimate SSC in remote rivers such as those in the Arctic. I compare the performance of PlanetScope’s spectral resolution (4 and 8 bands) with Landsat 7. Merging data from …

Understanding Climate Change Adaptation And Gentrification Through The Framework Of Uneven Coastal Development In Keansburg, New Jersey, Zachary Paganini

Dissertations, Theses, and Capstone Projects

This study examines the rapid acceleration of coastal development in the United States despite projections of climate change-induced sea level rise. Like no other developed country, the U.S. has transformed its fragile coastline into sites for leisure, consumption, and retirement. These spaces now face the prospect of more frequent and severe storms, as well as land loss and inundation, due to climate change. This dilemma has sparked debates around coastal resilience, adaptation, retreat, and climate gentrification.

While many studies seek to measure perceptions of climate change risk and vulnerability, this dissertation reverses the question by positioning risk perceptions as an …

Chronic Obstructive Pulmonary Disease Hot Spots In Mississippi, Taylor Jansen, Elizabeth Dugan

Journal of Public Health in the Deep South

Abstract

Introduction. Chronic obstructive pulmonary disease (COPD) is the sixth leading cause of death in the US and approximately 10% of people 65 years and older have COPD. This study examines the association of geographic-level risk factors with chronic obstructive pulmonary disease (COPD) prevalence using spatial-based analyses with the goal of identifying risk factors associated with county-level COPD and to identify communities at risk.

Methods. The study sample consisted of all N=82 counties in Mississippi and all data is reported at the county level. All measures were drawn from the 2023 Mississippi Healthy Aging Data Report. A hot spot …

Gps Accuracy Of Smartphones For Crowdsourcing Research, Derron L. Dike

Master of Science in Environmental Sciences and Management Projects

ABSTRACT GPS Accuracy of Smartphones for Crowdsourcing Research Derron Dike Utilizing crowdsourcing with smartphones as a method for field data collection can contribute an array of data for scientific studies and land management applications. This study used crowdsourcing to examine smartphone built-in GPS performance for providing location-specific information with potential forestry applications. The usability of smartphones for GPS data collection in forestry studies or other practical applications is dependent on the level of accuracy required for those applications. A Smartphone Accuracy Trial was designed to test the GPS accuracy performance of current smartphones. Participants used the ArcGIS Field Maps application …

A Comparison Of Maxent Models For Aedes Aegypti Species Distribution In South America Utilizing Different Bioclimatic And Environmental Variables, Matthew Beer

Electronic Theses and Dissertations

Aedes aegypti is the principal vector for dengue transmission across large areas of the world. Understanding where this critically important vector lives is paramount to preventing the continued expansion of dengue globally. Using 1981-2010 bioclimatic (bioclim) variables, as well as additional environmental variables and elevation data, multiple MaxEnt models were constructed for Ae. aegypti within the South American continent to identify ecologically important variables and areas of persistent high suitability. All models had acceptable AUC scores (> 0.70), indicating accurate model fitting. Annual mean precipitation and temperature were found to be important model variables; however, when added, humidity became the …

Dengue And Climate Change: Assessing Potential Future Areas Of Concern For Transmission In The United States, Matthew Beer

Electronic Theses and Dissertations

Background: Global climate change severely impacts human life, particularly health, as rising temperatures and extreme weather affect physical and mental well-being. Climate change can also alter the risk factors and epidemiology of infectious diseases, notably vector-borne diseases (VBDs), including those transmitted by mosquitoes. The Aedes mosquito, responsible for dengue, poses a significant threat due to its prevalence vector. Dengue prevention lacks effective methods beyond vector control, and the current vaccine has limitations, emphasizing the need for intensified research and prevention strategies to mitigate the expanding dengue burden worldwide. The goal of these studies was to establish a novel risk index …

Geospatial Analysis Of Environmental, Tick, And Host Interactions With Rocky Mountain Spotted Fever In The Southwestern United States, Al Ekram Elahee Hridoy

Geography ETDs

This study examines the spatiotemporal distribution and determinants of Rocky Mountain Spotted Fever (RMSF) incidence in Arizona from 2006 to 2021. Utilizing climate variables, land cover types, and socio-economic indicators, we employed Negative Binomial Regression, Spatial autocorrelation, and Random Forest-based classification to identify key predictors and patterns of RMSF spread. Results indicate positive correlations between RMSF incidence and precipitation and shrub cover, while veterinary access, forest cover, and relative humidity show negative associations. Spatial analysis revealed significant case clustering, with limited veterinary access associated with higher RMSF incidence. A Random Forest-based predictive model was developed to identify potential tick-host interactions, …

Spatial Mapping With Polaroid Post-Its, Angela C. Dittmar, Katie Claiborne

Arts-Based Collaborative instructional materials

No abstract provided.

Spatial Ecology Of Mountain Lions Throughout Their Distribution In California, Kyle Duncan Dougherty

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Mountain lions (Puma concolor) have been studied extensively throughout their wide geographic distribution in the Western Hemisphere, but most research has been conducted at relatively small spatial scales. We used GPS telemetry data contributed by researchers in 16 study areas throughout California to advance understanding of mountain lion spatial ecology. First, we investigated multi-scale resource selection of mountain lions relative to spatially varying risk of intentional human-caused mortality associated with livestock depredation management. We show that individuals that proactively avoided mortality risk when selecting home ranges were able to relax their avoidance of risk when making resource selection …

Spatial Ecology Of Mountain Lions Throughout Their Distribution In California, Kyle D. Dougherty

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

Mountain lions (Puma concolor) have been studied extensively throughout their wide geographic distribution in the Western Hemisphere, but most research has been conducted at relatively small spatial scales. We used GPS telemetry data contributed by researchers in 16 study areas throughout California to advance understanding of mountain lion spatial ecology. First, we investigated multi-scale resource selection of mountain lions relative to spatially varying risk of intentional human-caused mortality associated with livestock depredation management. We show that individuals that proactively avoided mortality risk when selecting home ranges were able to relax their avoidance of risk when making resource selection …

Understanding The Nuances Of Transit Accessibility: Temporal And Spatial Resolution, And Neoliberalism, Joe Chestnut

Electronic Theses and Dissertations

This dissertation explores accessibility via public transit through several lenses. In doing so, some of the lesser known nuances of accessibility are better understood. These nuances are explored in several ways. First, various demographic variables and their relationship to accessibility to jobs via public transit are modeled at a fine spatial resolution in an exploratory analysis across several cities in the United States. Next, temporal and spatial resolution and their impacts on accessibility to jobs via public transit are analyzed and quantified in several cities across the United States. Finally, the relationship between neoliberalism and public transit accessibility is explored …

Wasted Space: Using Parking Lots & Vacant Land To Improve Neighborhood Completeness, Ryan Martyn

Hatfield Graduate Journal of Public Affairs

This study conducts a spatial analysis of Portland, Oregon, focusing on leveraging underutilized areas like parking lots and vacant land—termed "wasted space"—to improve the city's completeness. Central to this investigation is the concept of a "complete neighborhood," characterized by access to daily necessities within convenient active transportation trip. This comprehensive idea encompasses walkability, equitable access to services, and sustainability.

This paper aims to redefine the concept of a complete neighborhood with precision and delve into its implications. The research looks at five regional, town, and neighborhood centers as defined by the city of Portland. These centers act as pivotal hubs …

Timeless Teachings & Unbridled Possibilities, Ruijie Tai

Masters Theses

I am looking at is process of TRANSLATING AND BRIDGING.

Qi, traditionally understood as the vital force that flows through and animates living beings and the environment, lies at the edge of our perceptual capabilities.

The notion that what we cannot "see" holds significant influence over our world suggests that there are aspects of reality and forces at play beyond our direct sensory experience. AI, with its capacity for analyzing vast amounts of data and recognizing patterns beyond human capability, offers a unique tool for exploring these unseen forces.

The potential of AI to perceive and understand Qi could open …

Sexual Abuse: A Multi-Faceted Problem, Marcus Venable

LSU Doctoral Dissertations

On average, US citizens have experienced approximately 400,000 sexual assaults per year, which results in enormous immediate and long-term consequences for individuals, as well as society in general.

In the U.S., the principal method of combatting this crime has been the creation of Sex Offender Registries used to notify the public of the identity and location of convicted sex offenders who may be living in proximity to their residence. In addition to the Registry, laws have been passed forbidding convicted sex offenders from residing within buffer zones around areas of high child concentration [schools/parks/etc.].

The efficacy and consequences of these …