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X-WR-CALDESC:Events for Center for Geospatial Analytics
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DTSTART;TZID=America/New_York:20260303T100000
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CREATED:20260216T211234Z
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SUMMARY:Geospatial Analytics Dissertation Defense: Stacie Reckling
DESCRIPTION:Title: Geospatial Analyses to Assess Population Demographics and Representativeness in Wastewater-Based Public Health Surveillance \nAdvisor: Dr. Helena Mitasova\, distinguished faculty fellow and professor in the Department of Marine\, Earth and Atmospheric Sciences \nAbstract: Wastewater-based public health surveillance analyzes untreated wastewater to detect human pathogens\, providing timely information about diseases circulating in a community. After expanding rapidly during the COVID-19 pandemic\, it has become a nationwide system for monitoring common respiratory viruses and emerging threats such as measles. Despite its growing utility\, populations included in wastewater surveillance remain poorly defined. We demonstrate how to create sewershed polygons to define the wastewater sample area. Then we use sewersheds to characterize wastewater-monitored populations and assess whether they are representative of broader populations. We found that in some states\, wastewater-monitored populations reflect the statewide population\, while in others\, they include higher proportions of minorities and are more socially vulnerable\, despite also having higher educational attainment and median household income. Connecting sewershed population information to wastewater data strengthens our ability to transform wastewater into public health action.
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-analytics-dissertation-defense-stacie-reckling/
LOCATION:Jordan Hall 5103\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Analytics Dissertation Defense
GEO:35.7816765;-78.6761854
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jordan Hall 5103 2800 Faucette Drive Raleigh NC 27695 United States;X-APPLE-RADIUS=500;X-TITLE=2800 Faucette Drive:geo:-78.6761854,35.7816765
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260305T150000
DTEND;TZID=America/New_York:20260305T160000
DTSTAMP:20260503T051911
CREATED:20250715T143035Z
LAST-MODIFIED:20260312T194222Z
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SUMMARY:Geospatial Forum: Dr. Christa Brelsford - Los Alamos National Laboratory
DESCRIPTION:Urban Heterogeneity Measurements\, Forecasts\, and Uses \nSpeaker: Dr. Christa Brelsford\, Research Scientist\, Los Alamos National Laboratory \nHosted by: Dr. Mollie Gaines\, Postdoctoral Research Scholar\, FER \nSummary: How do we measure connectivity in urban environments? How much heterogeneity in urban environments is to be expected? To what extent is the built environment shaped by socioeconomic processes\, and vice versa? In this talk\, Dr. Brelsford will present research exploring the causes\, consequences\, and determinants of the urban built environment and urban heterogeneity. She will describe a handful of methods useful for quantifying urban heterogeneity\, present an example of a multi-objective optimization framework for describing risk along hydrologic\, economic\, and social dimensions\, and then demonstrate an approach for quantifying trade-offs between different objectives when designing observation networks of the system. \nAbout the speaker: Christa Brelsford is a Research Scientist at Los Alamos National Laboratory. Previously\, she was the Liane Russell Fellow at Oak Ridge National Laboratory and a Postdoctoral Fellow at the Santa Fe Institute. She obtained her Ph.D. from the School of Sustainability at Arizona State University in 2014 for research on the determinants of residential water demand. Brelsford’s core research focus is on developing empirical methods to understand interactions between human and physical systems\, especially in urban contexts. \nRecording: https://youtu.be/mZMFN8pveyM
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-forum-dr-christa-brelsford-los-alamos-national-laboratory/
LOCATION:Jordan Hall 5111\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Forum
GEO:35.7816765;-78.6761854
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260306T140000
DTEND;TZID=America/New_York:20260306T150000
DTSTAMP:20260503T051911
CREATED:20260225T220417Z
LAST-MODIFIED:20260225T220417Z
UID:10000278-1772805600-1772809200@cnr.ncsu.edu
SUMMARY:Geospatial Analytics Dissertation Defense: Christopher Dunstan
DESCRIPTION:Title: Dancing with Data: Geospatial Analytics for Tracing Innovation in Urban Dance Culture\n \nAdvisors: Dr. Aaron Hipp\, faculty fellow and professor in Parks\, Recreation and Tourism Management & Dr. Laura Tateosian\, faculty fellow and associate teaching professor in the Center for Geospatial Analytics \nAbstract: Culturally innovative dance forms convey identity through movement\, but the rapid spread of new styles on social media obstructs the recognition and intellectual property claims of original creators. Geospatial analytics and data mining tools offer a tracing framework by analyzing social media conversations\, networks\, and videos. However\, applying quantitative tools to subjective art forms introduces significant methodological and ethical challenges. This dissertation engages with these problems through three studies: analyzing the spatiotemporal diffusion of the dance known as Flexn through using the Diffusion of Innovation theory\, constructing a dance-based African American Vernacular corpus to refine NLP models\, and quantifying core performance elements in breakdance competitions. This dissertation showcases a critical framework that balances computing with ethical rigor to protect dance innovators.
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-analytics-dissertation-defense-dunstan/
LOCATION:Jordan Hall 5103\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Analytics Dissertation Defense
GEO:35.7816765;-78.6761854
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260310T130000
DTEND;TZID=America/New_York:20260310T140000
DTSTAMP:20260503T051911
CREATED:20260302T141133Z
LAST-MODIFIED:20260303T143049Z
UID:10000279-1773147600-1773151200@cnr.ncsu.edu
SUMMARY:Geospatial Analytics Dissertation Defense: Caitlin Haedrich
DESCRIPTION:Title: Advanced Geospatial Modeling through Tangible Interfaces and Computational Notebooks \nAdvisor: Dr. Helena Mitasova\, distinguished faculty fellow and professor in the Department of Marine\, Earth and Atmospheric Sciences \nAbstract: This defense examines how geocomputational tangible user interfaces (G-TUIs) and computational notebooks expand access to advanced geospatial modeling. Following a systematic review of G-TUIs\, we present case studies using the Tangible Landscape platform across tourism research\, education\, and stakeholder engagement in water quality research. These examples demonstrate how G-TUIs support collaborative design\, exploration of environmental processes\, and teaching  geospatial computation and simulation. Finally\, we discuss the grass.jupyter package\, which integrates GRASS with Jupyter Notebooks to support reproducible\, documented\, and shareable workflows. This package has been widely used in research\, workshops\, and courses\, helping expand access to transparent and collaborative geospatial methods.
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-analytics-dissertation-defense-caitlin-haedrich/
LOCATION:Jordan Hall 5103\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Analytics Dissertation Defense
GEO:35.7816765;-78.6761854
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260326T150000
DTEND;TZID=America/New_York:20260326T160000
DTSTAMP:20260503T051911
CREATED:20260114T192108Z
LAST-MODIFIED:20260304T201315Z
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SUMMARY:Geospatial Forum: 6th Doctoral Student Edition - NC State
DESCRIPTION:Geospatial Analytics Ph.D. students will share current research in a series of short talks. \nHosted by: Rachel Kasten\, CGA’s Student Services Specialist \nStudent presenters: \n> Eli Horner — Quantifying and Partitioning Uncertainty through Space and Time in Ecological Forecasts using the Sobol Method; co-advised by Dr. Chris Jones and Dr. Ross Meentemeyer \nSummary: Whenever we make predictions about the future\, we need to consider the uncertainty in those predictions. The more we know about where predictive uncertainty is high and about what uncertainty sources contribute most to that uncertainty\, the better we can prioritize model development and data collection to make our models better. My work and presentation focuses on quantifying the uncertainty through both space and time for predictions of the spread of sudden oak death in Oregon and then partitioning that uncertainty\, that is\, breaking it down into its parts to tell us how much of our overall uncertainty comes from each uncertainty source\, along with how these patterns change over both space and time. \n  \n> Gwen Kirschke — Running a Field Campaign: Challenges and Rewards; advised by Dr. Elsa Youngsteadt \nSummary: In this presentation\, I will describe a field campaign I ran at the Rocky Mountain Biological Laboratory in summer 2025. During this campaign\, I lead a 6-person field team that collected ground cover\, floral abundance\, and floral resource information in 480 quadrats across 8 sites\, concurrent with flights by the NEON Airborne Observation Platform\, which collected high-resolution hyperspectral imagery. I am using these field data to train models predicting floral resource abundances throughout the subalpine valley where we worked. In order to test whether resulting floral resource products improve our ability to predict the ecologically relevant measure of bee productivity\, an undergraduate researcher and I measured solitary bee nesting rates at 6 sites in the same domain\, and collected traditional\, transect-based measures of floral resource availability to use as a comparison. I will also speak generally about the process of planning\, funding\, and conducting field work\, and why I have found it to be a valuable part of my research program\, despite the challenges. \n  \n> Titilayo Tajudeen — Assessing Coastal Forest Retreat under Current and Future Climate and Sea Level Rise Projections; advised by Dr. Katie Martin \nSummary: Coastal forests are increasingly threatened by saturated soils and rising salinity due to sea-level rise\, saltwater intrusion\, and storm surges. In response to increasing salinization and flooding\, healthy coastal forests that rely on freshwater are transforming into landscapes dominated by dead or dying trees\, bordered by salt-tolerant shrubs and grasses\, eventually becoming marshes or open water. Quantifying the rate and pathways of these landscape changes is essential for understanding how coastal ecosystems deteriorate and for predicting future transformations. The speed and direction of wetland shifts will depend on the rate of saltwater intrusion\, sea level rise\, and factors such as soil type\, landforms\, and hydrologic connectivity. Although some studies have documented the conversion of these areas\, limited research has examined the lateral and vertical retreat rates of forests\, and our understanding of the future progression of forest-to-marsh loss is still limited. To improve our understanding of these impacts\, I analyzed long-term trends in forest retreat from remote sensing data to determine how quickly the ecosystem is shifting both inland and vertically and the factors contributing to these losses.
URL:https://cnr.ncsu.edu/geospatial/event/geospatial-forum-6th-doctoral-student-edition-nc-state/
LOCATION:Jordan Hall 5111\, 2800 Faucette Drive\, Raleigh\, NC\, 27695\, United States
CATEGORIES:Geospatial Forum
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