Marie L Urban Group Leader Contact URBANML@ORNL.GOV All Publications Population Density Tables Facility-Types Defined July 2025... LandScan Mosaic Detecting Important Drivers of Gridded Population Modeling With Machine Learning... At Risk Population Estimates for Belarus, Poland and Slovakia with Machine Learning Conditional Experts for Improved Building Damage Assessment Across Satellite Imagery View Angles Deep Learning Scene Classification Experiments in Automatic Detection of Slums on Planetscope Imagery... TOWARDS RAPID RESPONSE UPDATES OF POPULATIONS AT RISK... A Bayesian model for multivariate discrete data using spatial and expert information with application to inferring building attributes Temporal Dynamics of Place and Mobility Estimating building occupancy: a machine learning system for day, night, and episodic events Generating traffic-based building occupancy schedules in Chattanooga, Tennessee from a grid of traffic sensors Mapping Human Dynamics Learning to Count Grave Sites for Cemetery Observation Models With Satellite Imagery revengc: An R package to Reverse Engineer Summarized Data Modeling Building Use and Population Distribution Opportunity Using Open Geosocial Data in Urban Areas... A global analysis of cities’ geosocial temporal signatures for points of interest hours of operation Dynamically-Spaced Geo-Grid Segmentation for Weighted Point Sampling on a Polygon Map Layer... Utilizing Geo-located Sensors and Social Media for Studying Population Dynamics and Land Classification Towards a Virtual Reality Elicitation of Building Occupancy Can Social Media Play a Role in the Development of Building Occupancy Curves? Facility Detection and Popularity Assessment from Text Classification of Social Media and Crowdsourced Data A Bayesian Machine Learning Model for Estimating Building Occupancy from Open Source Data... PlanetSense: A Real-time Streaming and Spatio-temporal Analytics Platform for Gathering Geo-spatial Intelligence from Open Source Data Can social media play a role in developing building occupancy curves for small area estimation? A Geographic Data Fusion Model for Estimating Quantitative Population Dynamics from Qualitative Survey Data Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links ORCID Organizations National Security Sciences Directorate Geospatial Science and Human Security Division Human Dynamics Section Human Geography Group
