EarthWorks Geospatial Catalog

LandScan 2011 Global Population Database

Author(s)
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Description
The LandScan Global Population Database (2011) contains population counts at 30 arc second resolution (1 km. or finer). This release represents the thirteenth version of LandScan and succeeds all previous versions. It is recommended that users of previous versions of LandScan replace any earlier version with LandScan 2011."Using an innovative approach with Geographic Information System and Remote Sensing, ORNL's LandScan™ is the community standard for global population distribution. At approximately 1 km resolution (30" X 30"), LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). 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. 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." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 20, 2012. There is also a layer file (lspop2011.lyr) for ArcGIS. This dataset is part of the LandScan 2011 Global Population Database.The LandScan Global Population Database was developed by the Oak Ridge National Laboratory (ORNL) for the U.S. Department of Defense (DoD). This dataset allows for quick and easy assessment, estimation, and visualization of populations-at-risk.
Publisher
Oak Ridge National Laboratory
Place(s)
Earth and Earth (Planet)
Subject(s)
Population geography, Human geography, Population, Society, and Imagery and Base Maps
Year
2011
Held by
Stanford
More details at
Use and reproduction
These data are licensed by Stanford Libraries and are available to Stanford University affiliates only. Affiliates are limited to current faculty, staff and students. These data may not be reproduced or used for any purpose without permission. For more information please contact brannerlibrary@stanford.edu.
Copyright
Copyright ownership resides with the originator.