4E1B927B-9D20-4777-8539-E4E8357BF8F7 eng utf8 dataset dataset Stanford Geospatial Center Metadata Analyst 650-723-2746

Branner Earth Sciences Library Mitchell Bldg. 2nd floor 397 Panama Mall Stanford California 94305 US brannerlibrary@stanford.edu

pointOfContact 2013-11-14 ISO 19139 Geographic Information - Metadata - Implementation Specification 2007 2 column 43200 0.008333 row 20880 0.008333 area true false -180.000000 -90.000000 -180.000000 84.000000 180.000000 84.000000 180.000000 -90.000000 -0.000000 -3.000000 center 4326 EPSG 7.9.4 2013-07-15 publication 2012 Oak Ridge National Laboratory

Oak Ridge Tennessee 37831 US bhaduribl@ornl.gov

originator Oak Ridge National Laboratory

Oak Ridge Tennessee 37831 US bhaduribl@ornl.gov

publisher Bright, Edward A. originator Coleman, Phillip R. originator Rose, Amy N. originator mapDigital East View LandScan Global Population Database 2012 LandScan Global Population Database 2012. Population counts at 30 arc second resolution (1 km. or finer).This release represents the fourteenth version of LandScan and succeeds all previous versions. 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. 12, 2013. There is also a "Layer" file (lspop2012.lyr) for ArcGIS. This dataset is part of the LandScan 2012 Global Population Database. Developed for the U. S. Department of Defense."The values of the cells are integer population counts representing an average, or ambient, population distribution. An ambient population integrates diurnal movements and collective travel habits into a single measure (Dobson et al. 2000). Since natural or man made emergencies may occur at any time of the day, the goal of the LandScan model is to develop a population distribution surface in totality, not just the locations of where people sleep. Because of this ambient nature, care should be taken with direct comparisons of LandScan data with other population distribution surfaces." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2013. Bright, Edward A., Coleman, Phillip R., Rose, Amy N., and Oak Ridge National Laboratory. (2013) LandScan 2012 Global Population Database. Oak Ridge National Laboratory, UT-Battelle, LLC. completed Amy L. King Oak Ridge National Laboratory GIS Analyst

Oak Ridge Tennessee 37831 US kingal@ornl.gov

pointOfContact annually Earth place 2012-11-01 revision 3.1 http://www.geonames.org/ 2012 temporal Population geography Human geography Population theme 2011-04-26 revision http://id.loc.gov/authorities/subjects.html Downloadable Data restricted restricted Licensee agrees to use its best efforts to provide UT-Batelle information on an annual basis about its utilization of the dataset including a list of publications or presentations wherein the dataset is used. If this dataset is used in a publication or presentation, please notify the distributor so that information can be shared with the dataset originator. Licensee agrees to apply the following notice to all tangible forms of products, including graphs or pictorial presentations, which are produced or generated utilizing the licensed LandScan 2012 High Resolution Global Population Dataset, or to the packaging thereof if direct application to products is not feasible: Notice: This product was made utilizing the LandScan 2012™ High Resolution Global Population Dataset copyrighted by UT-Battelle, LLC, operator of Oak Ridge National Laboratory under Contract No. DE-AC05-00OR22725 with the United States Department of Energy. The United States Government has certain rights in this Dataset. NEITHER UT-BATTELLE, LLC NOR THE UNITED STATES DEPARTMENT OF ENERGY, NOR ANY OF THEIR EMPLOYEES, MAKES ANY WARRANTY, EXPRESS OR IMPLIED, OR ASSUMES ANY LEGAL LIABILITY OR RESPONSIBILITY FOR THE ACCURACY, COMPLETENESS, OR USEFULNESS OF THE Dataset. If the product is a single image or something similar where space does not permit use of the entire notice shown above, Licensee shall apply the following credit line to such images or similar products: Source: LandScan 2012™, ORNL, UT-Battelle, LLC. 2013-07-15 publication 2012 Oak Ridge National Laboratory

Oak Ridge Tennessee 37831 US

publisher Oak Ridge National Laboratory

Oak Ridge Tennessee 37831 US

originator Coleman, Phillip R. originator Bright, Edward A. originator Rose, Amy N. originator mapDigital East View LandScan Global Population Database 2012 largerWorkCitation grid eng utf8 imageryBaseMapsEarthCover society Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.0.3035 true -180 180 -90 84 2012-01-01T00:00:00 2012-12-31T00:00:00 IMPORTANT: For correct population analysis using ESRI products assure that the following parameters are set:- Use ONLY Geographic, WGS84 projection parameters.- Spatial Analysis cell size is 0.008333333333333 (double precision)- Spatial Analysis extent should be set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0)Converting (including on-the-fly projections) a grid to other projections or coordinate systems causes population cells to be re-sampled, and hence population counts will be incorrect.In ESRI ArcMap, load the LandScan grid first in order to maintain the original geographic (lat-lon) projection."The dataset has a spatial resolution of 30 arc-seconds and is output in a geographical coordinate system - World Geodetic System (WGS) 84 datum. The 30 arc-second cell, or 0.008333333 decimal degrees, represents approximately 1 km2 near the equator. Since the data is in a spherical coordinate system, cell width decreases in a relationship that varies with the cosine of the latitude of the cell. Thus a cell at 60 degrees latitude would have a width that is half that of a cell at the equator (cos60 = 0.5). The height of the cells does not vary. The values of the cells are integer population counts, not population density, since the cells vary in size. Population counts are normalized to sum to each sub-national administrative unit estimate. For this reason, projecting the data in a raster format to a different coordinate system (including on-the-fly projections) will result in a re-sampling of the data and the integrity of normalized population counts will be compromised. Also prior to all spatial analysis, users should ensure that extents are set to an exact multiple of the cell size (for example 35.25, 35.50, 35.0) to avoid 'shifting' of the dataset." --from the Oak Ridge National Laboratory LandScan Web site, Sept. 12, 2013. physicalMeasurement lspop2012 174619 0 Unified Code of Units of Measure 32 false eng true 2013-07-15 publication a3bc75b2-8ce2-437f-b2db-4e202ffe1359 Oak Ridge National Laboratory

Oak Ridge Tennessee 37831 US bhaduribl@ornl.gov

originator Coleman, Phillip R. originator Bright, Edward A. originator Rose, Amy N. originator Raster Dataset Stanford Geospatial Center 650-723-2746

Branner Earth Sciences Library Mitchell Bldg. 2nd floor 397 Panama Mall Stanford California 94305 US brannerlibrary@stanford.edu

distributor http://wms.cartographic.com/landscan LandScan Global Web Applications East View Geospatial LandScan Global Archive Web Applications page information dataset Global coverage Multiple input datasets Office of the Geographer, U.S. Department of State. originator