Robert Stewart Image

Robert N Stewart

Section Head for Human Dynamics

Contact

865.574.7646 | STEWARTRN@ORNL.GOV

All Publications

A segmented approach to modeling building height: Delineating high-rise and low-rise buildings for enhanced height estimation

Inferring building height from footprint morphology data

Evaluation of Digital Nautical Chart data for confirmation and expansion of GeoNames data

Empirically Categorizing the Built Environment in Relation to Height

A Bayesian model for multivariate discrete data using spatial and expert information with application to inferring building attributes

UrbanPop: A spatial microsimulation framework for exploring demographic influences on human dynamics

Estimating building occupancy: a machine learning system for day, night, and episodic events

Near real time monitoring and forecasting for COVID-19 situational awareness

DOE COVID-19 Data Curation Effort: Overview of Initial Data Collection Coverage (March - June 2020)

Community Fabric: Visualizing Communities and Structure in Dynamic Networks

A Review of Bayesian Networks for Spatial Data

COVID-19 Data Curation Effort: An Initial Analysis of the Data...

A Taxonomic Classification Approach for Global Spatio-temporal Data

ReSFlow: A Remote Sensing Imagery Data-Flow for Improved Model Generalization

Reanalysis of Water Withdrawal for Irrigation, Electric Power, and Public Supply Sectors in the Conterminous United States, 1950–2016

Active Learning Approach to Record Linking in Large Geodatasets

Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics

revengc: An R package to Reverse Engineer Summarized Data

The Trillion Pixel GeoAI Challenge Workshop

Modeling Building Use and Population Distribution Opportunity Using Open Geosocial Data in Urban Areas...

Replicability and Reproducibility in High-Performance and Cloud Geocomputations

High performance Data Driven Agent-based Modeling Framework for Simulation of Commute Mode Choices in Metropolitan Area

A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework

Machine learning for energy-water nexus: challenges and opportunities

A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework...