LandCast builds on the intelligent dasymetric modeling techniques employed by LandScan Global and LandScan USA to down-scale national level population projections and model spatial population growth at the local level. For each target year, the projected distribution models an ambient population at a spatial resolution of 30 arc-seconds (`~1 km) based on a business as usual scenario. LandCast comprises locally adaptive, spatially explicit population projections for the contiguous United States for 20 represented as gridded datasets.The thermal and cold neutrons produced by HFIR are used to study physics, chemistry, materials science, engineering, and biology. Data Access: Not currently available to the public. University of Tennessee-Oak Ridge National Laboratory Governors Chair Professor for Biorefining Art Ragauskas is a well-known figure in the world of. Completed in 1965 and operating at 85 megawatts, HFIR’s steady-state neutron beam is the strongest reactor-based neutron source in the United States.Each LandScan HD dataset incorporates current land use and infrastructure data from a variety of sources applies population density estimates from census sources, from ORNL’s Population Density Tables (PDT) project, and/or from microcensus field surveys and leverages the high-resolution settlement and building layers created at ORNL. LandScan HD modeling is tailored to the unique data conditions of individual countries or regions. LandScan HD provides population estimates at 3 arc-second resolution for selected countries and regions.Residents, prisoners, workers, students, and shoppers are modeled as baseline population estimates, capturing the diurnal variations of the U.S. LandScan USA provides estimated population counts at 3 arc-second resolution for nighttime and daytime scenarios, for the Continental United States, Hawaii, and Alaska nighttime population estimates at 3 arc-second resolution are also available for Puerto Rico.

Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. LandScan Global is a 30 arc-second (~1 km) resolution gridded population dataset representing an “ambient” (average over 24 hours) population count.

Oak ridge national laboratory