U.S. Department of Energy Office of Scientific and Technical Information
Title: LandCast 2030 High-Resolution Population Projection
Software·
OSTI ID:1232097
The LandCast 2030 data set is an empirically-informed spatial distribution of projected population of the contiguous U.S. for 2030 compiled on a 30" x 30" latitute/longitude grid. Population projections of county level numbers were developed using a modified version of the U.S. Census's projection methodology - with the U.S. Census's official projection as the benchmark. Projected census counts were apportioned to each grid cell based on locally adaptive likelihood coefficients, which are based on land cover, slope, road proximity, distances to larger cities, a moving average of current population, and other data sets. The LandCast 2030 data set was developed as part of Oak Ridge National Laboratory (ORNL) Global Population Project for estimating ambient populations at risk.
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@misc{osti_1232097,
title = {LandCast 2030 High-Resolution Population Projection, Version 00},
author = {},
abstractNote = {The LandCast 2030 data set is an empirically-informed spatial distribution of projected population of the contiguous U.S. for 2030 compiled on a 30" x 30" latitute/longitude grid. Population projections of county level numbers were developed using a modified version of the U.S. Census's projection methodology - with the U.S. Census's official projection as the benchmark. Projected census counts were apportioned to each grid cell based on locally adaptive likelihood coefficients, which are based on land cover, slope, road proximity, distances to larger cities, a moving average of current population, and other data sets. The LandCast 2030 data set was developed as part of Oak Ridge National Laboratory (ORNL) Global Population Project for estimating ambient populations at risk.},
doi = {},
url = {https://www.osti.gov/biblio/1232097},
year = {Wed Jan 01 00:00:00 EST 2014},
month = {Wed Jan 01 00:00:00 EST 2014},
note =
}
Journal Article
·
Tue Feb 03 00:00:00 EST 2015
· Proceedings of the National Academy of Sciences of the United States of America (Online)
·OSTI ID:1232097