World Spatiotemporal Analytics and Mapping Project (WSTAMP): Discovering, Exploring, and Mapping Spatiotemporal Patterns across the World’s Largest Open Source Geographic Data Sets Conference Paper July, 2015
Monitoring Landscape Dynamics at Global Scale: Emerging Computational Trends and Successes... Conference Paper July, 2015
Impacts of Vehicular Communication Network on Traffic Dynamics and Fuel Efficiency... Book Chapter July, 2015
Modeling the Impacts of Solar Distributed Generation on U.S. Water Resources... Conference Paper June, 2015
Optimization Based Data Mining Approah for Forecasting Real-Time Energy Demand Conference Paper May, 2015
Attribute Portfolio Distance: A Dynamic Time Warping based approach to comparing and detecting common spatiotemporal patterns... Conference Paper May, 2015
A Hybrid Dasymetric and Machine Learning Approach to High-Resolution Residential Electricity Consumption Modeling... Conference Paper May, 2015
Can social media play a role in developing building occupancy curves for small area estimation? Conference Paper May, 2015
A Web Based Geographic Information Platform to Support Urban Adaptation to Climate Change ... Conference Paper May, 2015
