Amy N Rose Senior Scientist Contact rosean@ornl.gov | 865.576.3561 All Publications A Bayesian model for multivariate discrete data using spatial and expert information with application to inferring building a... UrbanPop: A spatial microsimulation framework for exploring demographic influences on human dynamics... Spatial and Temporal Characterization of Activity in Public Space, 2019–2020... A Review of Bayesian Networks for Spatial Data... Iterative self-organizing SCEne-LEvel sampling (ISOSCELES) for large-scale building extraction Impacts of the morphology of new neighborhoods on microclimate and building energy... Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit... The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use... Performance analysis and optimization for scalable deployment of deep learning models for country‐scale settlement mapping on Titan supercomputer Electricity consumption patterns within cities: application of a data-driven settlement characterization method... Ramifications of Evolving Misbehaving Convolutional Neural Network Kernel and Batch Sizes... Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States... Validation of Spatiodemographic Estimates Produced Through Data Fusion of Small Area Census Records and Household Microdata... Locally-Adaptive, Spatially-Explicit Projection of U.S. Population for 2030 and 2050... Providing Geospatial Intelligence through a Scalable Imagery Pipeline... Improving the LandScan USA Non-Obligate Population Estimate (NOPE)... Shifting temporal dynamics of human mobility in the United States... Urban Energy Systems: Research at Oak Ridge National Laboratory... Mapping Human Dynamics... Worldwide Population Estimates for Small Geographic Areas... Areal interpolation of population in the USA using a combination of national parcel data and a national building outline laye... Dynamically-Spaced Geo-Grid Segmentation for Weighted Point Sampling on a Polygon Map Layer Spatializing Global Urban Extent: A Source Driven Approach... Locally adaptive, spatially explicit projection of US population for 2030 and 2050 Data Driven Approach for High Resolution Population Distribution and Dynamics Models... Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links Google Scholar ORCID LinkedIn LandScan Organizations National Security Sciences Directorate Geospatial Science and Human Security Division
