The Big Ten GIS Conference

The Big Ten GIS Conference will be held on April 17, 2026. It brings together students, educators, researchers, librarians, professionals, and humanities scholars to share geospatial work and explore emerging directions in research and practice.

Register now >>Free virtual event

✋ Who Should Attend?

This conference is open to anyone interested in geospatial research—students, educators, researchers, and professionals from all institutions and industries. Whether you’re presenting a project, showcasing research, or simply eager to learn, the Big Ten GIS Conference is a place to share and engage. While the event highlights work from Big Ten universities, we welcome all attendees and presenters, regardless of affiliation.

Accessibility Note: Closed captions will be provided throughout the event.

⭐ Conference Full Agenda

Welcome Remarks

🕚 10:00 - 10:10 am CST

Presentation Session A

🕚 10:10 - 11:10 am CST

Facilitator: Tara Anthony, The Pennsylvania State University; Slide Operator: Laura McElfresh, University of Minnesota

Presentation 1: Mapping for Non-Majors: Spatial Literacy and Digital Humanities

👤 Sam Kim, University at Buffalo. Additional author: Claire Schen, University at Buffalo.

As the new GIS librarian, the task of building connections across departments was a difficult one. How do you build meaningful connections across disciplines when looking beyond physical geography? This presentation discusses a partnership with history faculty that showcases the relevance of spatial tools to other disciplines. To break from the data-focused image of geographic information systems, the librarian partnered with history faculty to chronicle the nineteenth-century cholera epidemic in Buffalo, New York using ArcGIS and ArcGIS StoryMaps. The collaboration offered upper-division undergraduate history students with no prior GIS experience an introduction to spatial literacy and a new medium for presentation. Students also gained experience organizing data in Excel. The project involved georeferencing and provided hands-on lessons regarding the messiness of historical data. Many locations from 1854 were obliterated by urban renewal in the 1950s and ’60s. Many residences in the nineteenth century lacked street numbers, leading students to grapple with historical imprecision in the precise world of GIS and work with an array of historical maps. The challenges and success of the project pointed to the value of introducing GIS to early-career undergraduates, allowing students to experience and explore local history through a spatial lens, regardless of their academic background. The presentation analyzes the ebbs and flows of partnership – from initial conversations to scaffolding for a non-technical student base – using student, librarian, and faculty experiences and reflections on the project. Librarians and educators will have a model to develop and expand spatial literacy across their campuses.

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Presentation 2: Reconstructing and Analyzing Historical Built Environments from Old Maps using Semantic and Graph-based Clustering

👤 Tshui Mum (Summer) Ha, The Ohio State University. Additional authors: Harvey J. Miller, The Ohio State University; Ningchuan Xiao, The Ohio State University; Matt Lewis, The Ohio State University; Yuantai Li, The Ohio State University; Karyn Kerdolff, The Ohio State University.

Urban morphology is defined as the physical forms and the spatial arrangements of the built environment (BE) over time. It analyzes historical urban layers that have shaped contemporary urban fabric, while also informing more context-sensitive future planning. Traditionally, the BE is quantified using numerical measures including footprint area, perimeter, height, and compactness, where the morphological groups are represented on 2D maps. Recent advances in remote-sensing and GIS technologies have enabled urban morphology to move beyond planimetric 2D maps towards volumetric 3D environments at the building level. While existing literature focuses on contemporary BE and extrapolates for future BE, this research seeks to reconstruct the urban morphology of past BE, which serves as the foundation for understanding how urban environments have evolved. In this research, we describe our techniques in integrating semantic attributes and graph-based clustering to study historical urban morphology using Sanborn fire insurance maps. Specifically, building footprints extracted from these historical maps are sorted based on their corresponding semantic attributes—building use, number of stories, and construction materials—and subsequently translated into graph structures to capture their topological characteristics, thereby achieving better accuracy in morphological clustering. The resulting morphological clusters will be used to develop parametric templates for generating large-scale historical urban models at Level of Detail 3—building masses with walls, roofs, and door and window openings. The outcomes will enable 3D morphological analytics that go beyond the current and future BEs, while also support rapid generation of 3D urban models for virtual reality experiences of historical neighborhoods.

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Presentation 3: Autonomous GIS: The next-generation AI-powered GIS

👤 Zhenlong Li, The Pennsylvania State University.

Generative AI, especially large language models (LLMs), is changing how we represent, analyze, and work with geographic information, and it is reshaping how geographic knowledge is produced. Autonomous GIS (or Agentic GIS) represents a new generation of AI-powered GIS, where it is not merely another tool but becomes an ‘artificial geospatial analyst’ or ‘digital agent’ who knows how to use geospatial tools and geographical analysis and with what data to solve geospatial problems. In this talk, I will elaborate on the concept of autonomous GIS, outline its core components, and discuss recent progress and key challenges. I will then present several examples showing how autonomous GIS works in practice, including a spatial analysis agent capable of performing automated geoprocessing, a geospatial data retrieval agent for autonomous data access, and a data discovery agent for intelligent spatiotemporal data exploration.

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SHORT BREAK

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Presentation Session B

🕚 11:15 - 12:35 pm CST

Facilitator: Innocensia Owuor, Purdue University; Slide Operator: Méch Frazier, Northwestern University

Presentation 1: Mapping Climate Vulnerability Index in Indiana

👤 Yuri Kim, Indiana University-Bloomington. Additional authors: Enakshi Bera (presenter), Diganta Mandal (presenter), Sandre Alanazi, Rose Allen, Zach Bond, Evan Bown, Melody Bunis-Haines, Mara Flynn, Owen Forberg, Seth Guidry, Cami Hartman, Elizabeth Kreag, Minidu Mallawa, Thomas Miller, Sarah Muckerheide, Machael Odunmorayo, Charles Revard, Michael Seymour, Isabelle Wagoner, Brenton Watson.

In recent decades, extreme weather-caused damage has become a global issue due to climate change. In the Advanced GIS Course (GEOG-G438/539) at Indiana University Bloomington in Spring 2026, we tried to build a climate vulnerability index with socioeconomic data (e.g., population, age groups, income, education attainment, unemployment, health insurance, and SNAP recipient) and physical environment variables (e.g., surface temperature, flood score, and imperviousness) in the top 20 most populous counties. We found diverse disparities in climate vulnerability levels, associated with imperviousness and socioeconomic status, across Indiana. The results also highlight that the vulnerability index is spatially clustered and often highly correlated with underrepresented communities. While further analysis is required to enhance the climate vulnerability index, our analysis can help prioritize areas for strategic planning, such as regulating development, increasing tree cover, and establishing an efficient emergency response system.

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Presentation 2: Soil Erosion Risk Distribution and Analysis in St. Joseph River Watershed

👤 Chengxu(Gary) Liu, Purdue University. Additional authors: Bernard Engel, Purdue University; Innocensia Owuor, Purdue University; Nicole Kong, Purdue University.

Soil erosion is a critical environmental concern in the recent decades due to its negative impact on agricultural production and land degradation that affect food security and environmental conservation. Thus, identifying high soil erosion risk areas is critical to address the soil erosion concern. In this study, Revised Universal Soil Loss Equation (RUSLE) model was used to assess the soil erosion risks in the St. Joseph River Watershed due to the ease of implementation in Geographic Information Systems (GIS), simple and accessible databases and reasonable costs. By using ArcGIS pro and obtaining soil, elevation, and rainfall data from SSURGO, NLCD, USGS and Indiana Map, each of the five parameter (RKLSCP) was represented before being multiplied together. The soil erosion risk remains low across most of the watershed, but scattered parts of higher risk areas are present in the south, central and west part of the watershed primarily due to urban settlements and high rainfall plus soil erosivity. In these areas, environmental concerns that led to the high soil erosion risks must be addressed. In the future, the remaining parts of the watershed must be analyzed further, and other models should also be applied to analyze the long-term soil erosion risks at a watershed scale. .

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Presentation 3: Wild Organization: A Case Study in the Integration of GIS in Small-Scale Urban Landscape Management

👤 Ayanda M. Masilela, University of Washington.

Jackson Place Cohousing (JPC) is a multifamily community with unusually spacious landscape assets. The property occupies roughly half a city block and was designed to feature ample green space. It also neighbors a city pipeline that serves as a guerrilla garden, as well as a city-run P-Patch near the parcel’s southeast boundary. These combined spaces support abundant wildlife. However, the healthful management of these green spaces requires extensive knowledge, labor, and water resources. The JPC Landscape Team is adopting new strategies for landscape management, including establishing relationships with local organizations and utilizing GIS software to streamline documentation and management workflows. With guidance from the King Conservation District, the Team has initiated a multi-year remediation plan that centers on native plant restoration and water efficiency to create a more self-sustaining environment. Team members are developing a field data collection application using QGIS and QField. It will be the basis of a long-term participatory GIS project to document the parcel’s dozens of floral species. It will eventually be published as a user-friendly interactive map for community members to learn about the property and take stewardship of its demanding green spaces..

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Presentation 4: Mapping the Student-Centered Foodscape: A GIS Analysis of Food Access Barriers at the University of Oregon

👤 Holden Eastman, University of Oregon. Additional authors: Yizhao Yang, University of Oregon; Dani Dolphin, University of Oregon; Keara Alonso-Lopez, University of Oregon; Jessica Brannan, University of Oregon.

Food insecurity among college students has gained increasing attention, yet research often emphasizes individual factors over the spatial and environmental contexts shaping daily food access. For students, access is shaped by intersecting economic, physical, and temporal constraints embedded in their routines. This study uses GIS to examine how these three dimensions intersect to influence food access among University of Oregon (UO) students. The research employs a mixed-methods approach, including a campus-wide UO survey and focus groups exploring lived experiences of food insecurity. Using GIS, the project maps the UO campus and surrounding food environment. Spatial layers incorporate affordability, healthy options, hours of operation, and transit proximity, supporting the creation of a student foodscape: the spatial and temporal configuration of food resources as experienced through college life. The analysis identifies intersections among economic access (affordability), physical access (distance and transportation), and temporal access (operating hours and student schedules). GIS accessibility analysis and spatial overlays reveal areas where these barriers converge, highlighting gaps in the current food environment and informing potential interventions. This study proposes a replicable framework for integrating participatory insights with GIS-based food environment analysis in university settings. By conceptualizing food access through a student-centered foodscape, the approach shifts attention from static inventories of food outlets toward the dynamic ways food resources interact with daily schedules, mobility patterns, and financial constraints. The methodology can be applied by universities and communities seeking to better understand how built environments and institutional arrangements shape student food access.

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LUNCH BREAK 12:35 - 1:00 pm CST

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Lightning Talks Session 1

🕚 1:00 - 1:50 pm CST

Facilitator: Kathleen Weessies, Michigan State University; Slide Operator: Sue Oldenburg, Rutgers University

1. Spatial Limits to the Growth of Forest Fires

   👤 Ganapathy Narayanaraj, University of Minnesota

   Forest fire expansion is shaped by spatial constraints that limit or redirect how fires move across a landscape. This study used Geographic Information Systems, image‑derived landscape measurements, and spatial matching methods to compare burned locations with environmentally similar unburned controls. Fire cessation points occurred significantly closer to roads than expected by chance, indicating that roads function as strong barriers to spread. Terrain features, vegetation structure, and stream networks also influenced where fires stopped, with fragmented or less flammable vegetation reducing continuity and slowing growth. Although multiple environmental factors contributed to fire behavior, road proximity had the most pronounced effect. These results demonstrate that both natural and human‑made landscape features impose spatial limits on fire growth, improving understanding of fire dynamics and supporting more effective fire‑management strategies.

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2. Beyond Aggregation: Multimodal Spatial Access to Primary Care in NHPI and Asian Communities in Houston, Texas

   👤 Tåsi Jones, University of Washington

   Native Hawaiian and Pacific Islander (NHPI) communities face disproportionate chronic disease burdens compounded by erasure in public health data, lower car ownership, and high uninsured rates. Despite this, spatial access to healthcare for NHPI communities remains largely unexamined, particularly in urban contexts. This study examines what healthcare access looks like for NHPI residents in Houston, Texas by comparing spatial access to primary care between NHPI-dense and Asian-dense census tracts, making the consequences of racial aggregation empirically visible. Using OpenStreetMap, Health Resources and Services Administration health center data, Houston Metro transit feeds, and tract-level commuting patterns from the American Community Survey, accessibility scores are generated using the enhanced two-step floating catching area method in R with multimodal travel-time matrices weighted by tract-level mode share. Analyses are conducted separately for general primary care sites and Federally Qualified Health Centers to examine whether safety net access follows the same patterns as general primary care access across tract types. This study contributes a replicable open-source framework for examining spatial access in small, frequently aggregated urban populations facing compounding disadvantages, with implications for equitable transportation policy and non-emergency medical transportation planning.

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3. Analysis of Crime Counts in Washington D.C. 100 Days Before and During National Guard Mobilization

   👤 Sasha Resig, University of Minnesota

   On August 11, 2025, United States President Donald Trump announced that the District of Columbia National Guard would be mobilized to Washington D.C. to “restore law and order in the nation’s capital”, after violent incidents in months prior and very high violent crime rates. The mobilization of the National Guard has caused much uproar, while the Trump administration touts the mobilization’s success, as “Carjackings are down 83%. Robberies are down 46%. Car thefts [are] down 21%, and overall violent crime is down 22%.”, while some media outlets contest these claims due to fears of reporting and fluctuating crime rates. This project examines how crime counts by type and census tract have changed 100 days before and after the National Guard mobilization. Using python to calculate and visualize changes in crime counts, results suggest that overall crime counts, thefts, and robberies decreased after the mobilization, with most census tracts experiencing a percentage decrease in crime 100 days after National Guard mobilization, when compared to 100 days prior.

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4. Mapping Mental Health: How Redlining Echoes in Wayne County’s Access Gaps

   👤 Gabrielle Skinner, University of Michigan

   This analysis investigates the enduring impact of historical redlining on the availability, distribution, and cultural appropriateness of outpatient mental health facilities in Wayne County, Michigan. Utilizing spatial analysis techniques, we integrate mental health facility locations, historical Home Owners’ Loan Corporation (HOLC) redlining grades, and Mental Health Professional Shortage Area (HPSA) designations. Key questions explored include: how are mental health facilities distributed across historically redlined areas? Do these distributions align with current HPSA statuses? And, what is the correlation between redlining, demographic factors, provider density, and mental health prevalence? Our findings reveal a significant concentration of facilities in historically disadvantaged redlined Grade C and D areas, which also frequently overlap with HPSA zones. These areas exhibit higher mental health prevalence and disproportionately serve Black and Hispanic populations. Furthermore, a ‘Concordance Gap’ metric highlights potential mismatches between facility staffing and community demographics, particularly for Black populations in these historically marginalized zones. The analysis underscores how historical housing discrimination continues to shape contemporary health inequities, advocating for targeted interventions to improve equitable access to culturally competent mental health services.

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5. Putting Michigan’s Fishing Regulations on the Map

   👤 Austin Bartos, Institute for Fisheries Research (Michigan DNR/University of Michigan)

   Michigan has a variety of fishing regulations, spanning dozens of fish species and thousands of lakes and over 75,000 river miles. Fishing is regulated through an array of parameters, such as size limits, tackle restrictions, and spawning closures. These regulations are essential for the conservation, protection, and management of fish populations. Some of the most popular species in Michigan are trout and salmon, which are covered by several regulations. Until now, these regulations have only been described in text and static paper maps, which are not ideal for communicating inherently spatial information. To address this information gap, the trout and salmon regulations were translated from text into a GIS database. A subsequent web application was developed to provide anglers with the ability to search for trout and salmon regulations using an interactive map. Upon selection of a lake or stream, detailed descriptions of the regulations are provided. The web application is also mobile-friendly, allowing anglers to view regulations while out on the water. Our aim is that providing spatially explicit regulations in an accessible format will increase their effectiveness in protecting and managing Michigan’s fisheries.

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🧰 Keynote: Rescuing HIFLD Open: An Effort to Save America’s GIS Data (with Q&A)

🕚 2:00 - 3:00 pm CST

👤 Frank Donnelly, Brown University

Abstract

The federal statistical system is a vital component of public infrastructure on which the foundation of our economy, society, and educational institutions rest. Beginning in 2025, this infrastructure has come under threat as government datasets and repositories are being summarily removed from the internet. A number of organization quickly sprang into action, and several new projects were launched to save and preserve these datasets. This talk will describe one of these initiatives, the effort to preserve the data from the HIFLD Open GIS portal. This portal had gathered foundational geospatial layers for the entire country from dozens of federal agencies in one convenient location, and was a key resource used for planning, policymaking, teaching, and research. When it was announced that the portal would go offline in August 2025, volunteers at the Data Rescue Project jumped in to save its data. This presentation will tell the story of how this project unfolded, from the initial steps of downloading and organizing the content, through the generation of a workflow for volunteers to upload data, create metadata, and track progress, and efforts which accelerated a process that culminated in successfully saving over 400 data layers.

Bio

Frank Donnelly is a geospatial information professional whose work integrates geography with library and information science. He has several decades of experience with GIS and geospatial technology, and was an early adopter of open source GIS in higher education. In crafting library data services, his vision has been to go beyond just helping people discover and use data, to actively creating publicly accessible data products and tutorials that enhance research and teaching. An expert in government datasets, he is the author of “Exploring the US Census: Your Guide to America’s Data”, and is an active volunteer with the Data Rescue Project. He is currently the Head of GIS and Data Services at the Brown University Library and manages the library’s geospatial data center, GeoData@SciLi. He previously served as the Geospatial Data Librarian at Baruch College, CUNY. He holds an MA in Geography from the University of Toronto and an MLIS from the University of Washington. You can read about his work on his website, “At These Coordinates” (https://atcoordinates.info/).

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SHORT BREAK

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Lightning Talks Session 2

🕚 3:00 - 3:50 CST

Facilitator: Nicole Scholtz, University of Michigan; Slide Operator: Karen Majewicz, University of Minnesota

1. Spatial Persistence of Racial Inequality Across I-630

   👤 Ananya Uddanti, Brown University. Additional author: Zhenchao Qian, Brown University.

   This project maps the spatial legacy of Interstate 630 (I-630) in Little Rock, Arkansas, to assess whether the corridor operates as a durable boundary of racial and educational inequality. Using decennial Census data (1960–2020) and recent ACS 5-year estimates, tract-level demographic indicators were visualized in ArcGIS Pro and analyzed using spatial autocorrelation techniques. Choropleth maps demonstrate that the highest concentrations of African American residents have remained clustered south and east of I-630 since its construction, while northern and western tracts consistently exhibit lower proportions. Over time, high-density tracts increasingly overlap with areas of high African American concentration. Educational attainment patterns mirror this divide in reverse: bachelor’s degree attainment clusters north and west of the interstate, reinforcing a spatialized inequality structure. Global Moran’s I analysis indicates strong positive spatial autocorrelation in changes in African American population share (I = 0.551), confirming that racial shifts are geographically clustered rather than randomly distributed. Local Moran’s I further identifies statistically significant clustering in percentage of African American population from 1990 to 2020 by census tract as follows: High–High clusters south/east of I-630 and Low–Low clusters north/west of I-630. The maps collectively illustrate how I-630 functions as a socio-spatial boundary embedded within Little Rock’s built environment. Rather than dissipating over time, racial and educational divides remain spatially entrenched, supporting scholarship that characterizes urban highways as mechanisms of structural segregation.

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2. Differential Effects of Magnetic Inclination and Cloud Cover on Migratory Route Deviations in Night-Migrating Birds

   👤 Ethan Minikes, The Ohio State University

   Nocturnal migratory birds rely on geomagnetic and celestial cues to navigate long-distance movements, yet how environmental variability alters realized migratory routes, especially at high latitudes where geomagnetic gradients are steep and sky visibility is often degraded, remains poorly understood. In this study, I examine deviations from expected migratory pathways in long-distance waterbirds using multi-species GPS and satellite telemetry data from the USGS Alaska Science Center, covering Arctic and sub-Arctic regions. Expected migratory routes were modeled using species-specific greater circle paths and validated with eBird Status and Trends data. Observed GPS tracks were imported into ArcGIS Pro and spatially compared with expected routes to quantify deviations and identify geographic patterns. Individual trajectories were paired with spatiotemporally matched environmental data, including cloud cover, wind speed, and geomagnetic information, which were extracted and interpolated across space using bilinear interpolation in GIS. Findings indicate that deviations are influenced by both atmospheric conditions and latitudinal variation in geomagnetic cues, highlighting species-specific responses to environmental constraints on navigation. By integrating high-resolution telemetry with GIS-based route modeling and interpolated environmental layers, this work provides a framework for mapping and quantifying navigational deviations, improving understanding of how nocturnal birds cope with dynamic and degraded sensory environments during migration.

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3. An Introduction to the Mississippi River Gorge Project

   👤 Emma Jones, University of Minnesota

   The Mississippi River Gorge Project is a collaboration between Saint Anthony Falls Lab and The University of Minnesota’s U-Spatial. The driving force behind the project is the potential removal of Lock and Dam 1. The role of U-Spatial in this project is to provide data to predict land cover change, elevation change, sediment transport, and water level variation by evaluating maps that were created prior to the creation of Lock and Dam 1. To evaluate these changes, we georeferenced and digitized a set of maps created in 1887 by the Army Corps of Engineers that showed the natural boundaries of the Mississippi River. Using this data, Saint Anthony Falls Lab plans to create a 1:200 scale of a section of the Mississippi River to examine the elevation and sediment change. This model will then help predict the feasibility of removing Lock and Dam 1 and its potential impact on the current river landscape, local habitats, and the metro area as a whole.

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4. Diabetes risk and organophosphate pesticide usage in the Central San Joaquin Valley, California

   👤 Eva Mitchell-Vargas, University of Oregon

   Organophosphate compounds are commonly used in notable pesticides like malathion, dimethoate and acephate are commonly used on crops ranging from tomatoes and broccoli to most stone fruit. These pesticides are known to have adverse health effects including diabetes (Chung et al., 2021). Health risks scale alongside increased exposure. Therefore, adverse health impacts fall disproportionately on agricultural communities (de-Assis et al., n.d.). Using 2024 data from the California Pesticide information Portal and diabetes incidences from the US Census Bureau, I map exposure to organophosphate pesticides and diabetes incidences within Latino farmworker communities in the Central San Joaquin Valley, California. In my analysis, I identify patterns of risk, hotspots and correlate between organophosphate pesticide use prevalence and the incidence of diabetes within the exposed communities. Risk is not distributed equally. Thus, I advocate for a deeper analysis of health effects within these structurally vulnerable communities leading to stricter regulation and monitoring of organophosphate pesticides.

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5. Mapping Disasters: The Impact of the 1907 Typhoon on Micronesian Islands

   👤 Anna Dorson, Purdue University

   This research centers on a typhoon that hit our project area, the Federated States of Micronesia, in March of 1907, causing environmental destruction and loss of life. Our research question analyzes islanders’ response to the storm within the historical context of the typhoon. Through this research, our team seeks to use primary source data to identify the agency exercised by the people of Yap and its Outer Islands, during the 1907 typhoon, by visualizing their movements and analyzing their role within the context of disaster situations. To approach our research question, we analyzed a multitude of primary source materials to collate first-hand narratives of the path and impacts of the storm. To analyze this data, we then created a story map using GIS that follows the path of the typhoon and includes information about the individual impacts of disaster on each island. This research is important because this visualization functions as a teaching tool, allowing students and community members better access to understand the typhoons impacting Micronesian regions. We see this research being applicable to future visualization projects to help other researchers explain disasters through GIS technology to students and community members.

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Closing Thoughts and Thanks

🕚 3:50 - 4:00 pm CST

Submission Tracks

Call for Presentations and Lightning Talks

We welcome submissions from any discipline using geospatial information. Projects, methods, applications, and interdisciplinary approaches are all appropriate. Clear, concise proposals that outline your project, approach, and contribution will help reviewers understand your work.

Now Closed

Closed on March 5, 2026

Map Gallery Submissions

The Map Gallery showcases innovative geospatial projects in a visual format. Class assignments, research, creative mapping, and independent work are all welcome.

Now Closed

Read Guidelines

Closed on March 24, 2026

Topic Ideas

Need inspiration? These are all examples of relevant and past topics.

• Agriculture and natural resources
• AI and machine learning
• Urban planning and infrastructure
• GIS education and methods
• Health sciences, humanities, and social sciences
• Cultural heritage and spatial storytelling
• IDEA and environmental justice
• UAVs
• Applied GIS in campus and municipal projects

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Map Gallery Visit the conference map gallery featuring dozens of interactive maps & cartographic works.

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Past Conferences

• 2025
• 2023
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• 2021
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