Cyber-GIS Center for Advanced Digital and Spatial Studies

Cyber-GIS Center for Advanced Digital and Spatial Studies Established in 2013 as a partnership among several units at the University of Illinois at Urbana-Champaign

💧 Missed our recent I-GUIDE VCO? The recording is now available!Thank you to Esmaeel Adrah (Kent State University) and D...
09/11/2026

💧 Missed our recent I-GUIDE VCO? The recording is now available!

Thank you to Esmaeel Adrah (Kent State University) and Daniel Dominguez (Colorado State University) for sharing their work on Physics-Informed GeoAI for Estimating Irrigation Volume from Earth Observations, an Honorable Mention winner in the I-GUIDE Spatial AI Challenge 2025–26.

The session explored a physics-informed GeoAI framework that combines Alpha Earth satellite embeddings, hydrological data, and machine learning to estimate irrigation water use. Tested in California’s Central Valley, the approach improves predictive accuracy while maintaining physical grounding, offering a scalable tool for water managers to monitor irrigation withdrawals and support more sustainable water management.

🎥 Watch the recording: https://www.youtube.com/watch?v=WIVIVApHr3s

🌟 New publication from the NSF I-GUIDE Team! This publication is from JAWRA Journal of the American Water Resources Asso...
09/10/2026

🌟 New publication from the NSF I-GUIDE Team!

This publication is from JAWRA Journal of the American Water Resources Association, "Trying To Be “At the Table” Instead of “On the Menu”: Irrigation Company Perspectives on Managing Water" by Bailey Holdaway and Courtney Flint.

📃 Read the full paper here 👉 https://doi.org/10.1111/1752-1688.70144

🌟 I-GUIDE Platform Knowledge Element of the Week!For the week of September 7, "Chicago Crime data 2026" is the knowledge...
09/09/2026

🌟 I-GUIDE Platform Knowledge Element of the Week!

For the week of September 7, "Chicago Crime data 2026" is the knowledge element of the week.

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified.

✨ Access the element here: https://platform.i-guide.io/datasets/265e6957-7ecf-48e0-a179-b498533eb627

🚦 TODAY AT 11 AM CT!Join Zhaonan Wang of NYU Shanghai for an upcoming I-GUIDE VCO on Net-Ev²: Generative Simulation for ...
09/09/2026

🚦 TODAY AT 11 AM CT!

Join Zhaonan Wang of NYU Shanghai for an upcoming I-GUIDE VCO on Net-Ev²: Generative Simulation for Network Event Evolution.

The session will explore a novel generative simulator that uses natural-language event inputs to model network dynamics while preserving topological structure. The framework combines structure-guided pre-training with topology-aware diffusion to generate flexible, realistic traffic simulations.

🔗 Learn more: https://i-guide.io/i-guide-vco/net-ev2-generative-simulation-for-network-event-evolution/

🌿 Integrating Flux Towers, Remote Sensing, and Models in the EvergladesJoin Ajay Devda (Colorado State University), Hesh...
09/08/2026

🌿 Integrating Flux Towers, Remote Sensing, and Models in the Everglades

Join Ajay Devda (Colorado State University), Hesham Elhaddad (Western Michigan University), Hui Lui (Cornell University), Josh Wang (Cornell University), Purna Saud (University of Wyoming), and Leonardo Bobadilla (Florida International University) for an upcoming I-GUIDE VCO exploring how flux-tower measurements, remote sensing observations, and first-principles models can be integrated to improve carbon, water, and energy flux estimates across the Everglades.

The team will share highlights from their collaborative work on data integration, machine learning, and model development and validation, highlighting approaches for improving the accuracy and scalability of ecosystem monitoring.

📅 September 16, 2026 | 🕚 11:00 am (Central Time)

🔗 Learn more and register: https://i-guide.io/i-guide-vco/integrating-flux-towers-remote-sensing-and-models-in-the-everglades/

🚦 Can GenAI simulate how real-world events reshape complex transportation networks?Join Zhaonan Wang of NYU Shanghai for...
09/04/2026

🚦 Can GenAI simulate how real-world events reshape complex transportation networks?

Join Zhaonan Wang of NYU Shanghai for an upcoming I-GUIDE VCO on Net-Ev²: Generative Simulation for Network Event Evolution.

The session will explore a novel generative simulator that uses natural-language event inputs to model network dynamics while preserving topological structure. The framework combines structure-guided pre-training with topology-aware diffusion to generate flexible, realistic traffic simulations.

📅 September 9, 2026 | 🕚 11:00 am (Central Time)

🔗 Learn more: https://i-guide.io/i-guide-vco/net-ev2-generative-simulation-for-network-event-evolution/

🌟 New publication from the NSF I-GUIDE Team! This publication is from Scientific Data, "The Human Flourishing Geographic...
09/03/2026

🌟 New publication from the NSF I-GUIDE Team!

This publication is from Scientific Data, "The Human Flourishing Geographic Index: A County-Level Dataset for the United States, 2013–2023" by Stefano M. Iacus, Devika Jain, Andrea Nasuto, Giuseppe Porro, Marcello Carammia & Andrea Vezzulli.

📃 Read the full paper here 👉 https://doi.org/10.1038/s41597-026-07803-1

🌟 I-GUIDE Platform Knowledge Element of the Week!For the week of August 31, "Physics-Informed Geo-AI for Irrigation Quan...
09/01/2026

🌟 I-GUIDE Platform Knowledge Element of the Week!

For the week of August 31, "Physics-Informed Geo-AI for Irrigation Quantification" by Esmaeel Adrah and Daniel Dominguez is the knowledge element of the week.

This notebook presents a novel Physics-Informed Geo-AI framework designed to estimate irrigation quantity. We integrate the high-dimensional predictive power of TabNet with the mechanistic rigor of the Inverse-SM2RAIN hydrological model, utilizing Earth Observation data to fill critical gaps in water management data. The primary innovation of this work is the hybridization of satellite foundation model embeddings with mechanistic soil–water balance equations.

🔗Join us tomorrow for a VCO on this project! https://i-guide.io/i-guide-vco/physics-informed-neural-networks-for-estimating-irrigation-volume-and-recharge-from-earth-observations/
✨ Access the element here: https://platform.i-guide.io/notebooks/5d89ce8d-1948-494c-8ed5-41d4cb09e39d

💧 Physics-Informed GeoAI for Estimating Irrigation Volume from Earth ObservationsJoin Esmaeel Adrah of Kent State Univer...
08/28/2026

💧 Physics-Informed GeoAI for Estimating Irrigation Volume from Earth Observations

Join Esmaeel Adrah of Kent State University and Daniel Dominguez of Colorado State University for an upcoming I-GUIDE VCO featuring an Honorable Mention project from the Spatial AI Challenge 2025–26.

This session will explore a Physics-Informed GeoAI framework that combines satellite embeddings, soil moisture, precipitation, and hydrological models to estimate irrigation water use. Tested in California’s Central Valley, the approach demonstrates how integrating physical constraints with AI can support scalable, interpretable water management and resilience planning.

📅 September 2, 2026 | 🕚 11:00 am (Central Time)

🔗 Learn more: https://lnkd.in/eDadVZBz

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