381073FD-236B-4C81-A098-4C1C634D69A0 eng utf8 dataset dataset Stanford Geospatial Center Metadata Analyst 650-723-2746
Branner Earth Sciences Library Mitchell Building, 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 area true 2 column 43200 0.008333 row 21120 0.008333 area true false -180.000000 -90.000000 -180.000000 86.000000 180.000000 86.000000 180.000000 -90.000000 -0.000000 -2.000000 center 4326 EPSG 7.9.4 <gco:CharacterString>LandScan 2011 World Area Grid</gco:CharacterString> 2012-06-29 publication 2011 Oak Ridge National Laboratory (+1) 865.576.7658
P.O. Box 2008 Oak Ridge Tennessee 37831 US
originator
Oak Ridge National Laboratory (+1) 865.576.7658
P.O. Box 2008 Oak Ridge Tennessee 37831 US LandscanTechnical@ornl.gov
publisher
Bright, Edward A. originator Coleman, Philip R. originator Rose, Amy N. originator mapDigital East View LandScan Global Population Database 2011 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. Improvements that have been incorporated into the LandScan 2011 Global Population Database are outlined below: Updated results from the 2010 and 2011 rounds of census activities for numerous countries have been released and were integrated into this version of LandScan. These new data allow for significant refinements in the population distribution. For temporal consistency, all census counts were normalized to match the July 2011 national population estimates provided by the CIA World Factbook. Output from ORNL’s “Settlement Mapper Tool” (which rapidly delineates and characterizes settlements using high-resolution imagery) was incorporated in this version of LandScan. NGA’s Controlled Image Base (CIB) imagery and other high-resolution imagery sources were used extensively for verification and validation, for refining urban built-up areas, for adding thousands of smaller villages and populated places, and for the identification and mitigation of input data anomalies to improve the spatial precision and values of the population distribution. The population distribution for the United States was based on calculations derived from the sixth edition of ORNL’s LandScan USA product [a very high resolution (3 arc-second ~90 meter resolution) population database of nighttime and daytime population distribution made available to qualified users of the Department of Homeland Security (DHS)/NGA Homeland Security Infrastructure Program (HSIP) data]. This year, U.S. Census boundary geometry for the 2010 Census was incorporated, as were 2010 baseline block-level population counts and 2011 Census estimates. In this version, changes to the population distribution for Japan include impacts due to the 2011 earthquake, tsunami, and the Fukushima Daiichi nuclear power plant incident. Resultant population displacements including shelters and temporary housing were integrated into the distribution. Updates were made to the country grid to reflect changes in global political boundaries and sovereignty. These changes include the division of Sudan and South Sudan, creating separate entities for Akrotiri and Dhekelia, and permanently dissolving Netherlands Antilles in so that Curacao and Sint Maarten are now constituent countries and Bonaire, Saba, and Sint Eustatius are special municipalities. Because of these refinements we advise against cell-by-cell comparison between LandScan 2011 and earlier versions of LandScan.
A ESRI grid of areas of 30 second cells. The data table (VAT) contains the cell areas in the field: [Area]. The units are square kilometers. Tha Value Field simply represents a row number for a specific Latitude. All cells on the same row have the same area. Cell areas are largest at the equator and smallest at the poles. This dataset is part of the LandScan 2011 Global Population Database. The LandScan 2011 Global Population Database was developed by Oak Ridge National Laboratory (ORNL) for the United States Department of Defense (DoD). The data allows for quick and easy assessment, estimation, and visualization of populations-at-risk. Bright, Edward A., Coleman, Phillip R., Rose, Amy N. and Oak Ridge National Laboratory. (2012) LandScan 2011 World Area Grid. Oak Ridge National Laboratory. completed Marie L. Urban Oak Ridge National Laboratory Research Staff (+1) 865.576.7658
P.O. Box 2008 Oak Ridge Tennessee 37831 US LandscanTechnical@ornl.gov
pointOfContact
annually Earth place <gco:CharacterString>GeoNames</gco:CharacterString> 2012-11-01 revision 3.1 http://www.geonames.org 2011 temporal Population Land use theme <gco:CharacterString>lcsh</gco:CharacterString> 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 Data Set including a list of publications or presentations wherein the Data Set 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 2010 High Resolution Global Population Data Set, or to the packaging thereof if direct application to products is not feasible: When using the LandScan data in publications, please insert this statement as appropriate: "This product was made utilizing the LandScan 2011 -- High Resolution global Population Data Set 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 Data Set. 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 DATA SET."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 2011, ORNL, UT-Battelle, LLC. <gco:CharacterString>LandScan 2011 Global Population Database</gco:CharacterString> 2012-06-29 publication 2011 Rose, Amy N. originator Bright, Edward A. originator Coleman, Philip R. originator Oak Ridge National Laboratory (+1) 865.576.7658
P.O. Box 2008 Oak Ridge Tennessee 37831 US
publisher
Oak Ridge National Laboratory (+1) 865.576.7658
P.O. Box 2008 Oak Ridge Tennessee 37831 US
originator
mapDigital East View LandScan Global Population Database 2011
largerWorkCitation
grid eng utf8 imageryBaseMapsEarthCover Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.0.3035 true -180 180 -90 86 ground condition 2011-01-01T00:00:00 2011-12-31T00:00:00
physicalMeasurement areagrd 21120 1 Unified Code of Units of Measure 16 false false false false false false eng true <gco:CharacterString>Feature Catalog for LandScan 2011 World Area Grid</gco:CharacterString> 2012-06-29 publication c90b7797-11cd-461e-830d-45665485ee2a Oak Ridge National Laboratory (+1) 865.576.7658
P.O. Box 2008 Oak Ridge Tennessee 37831 US
originator
Bright, Edward A. originator Coleman, Philip R. originator Rose, Amy N. originator
Raster Dataset Stanford Geospatial Center 650-723-2746
Branner Earth Sciences Library Mitchell Building, 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
Feature Catalog for LandScan 2011 World Area Grid Population; Land use 2012 eng; US Oak Ridge National Laboratory areagrd.vat false Rowid Internal feature number. Esri Esri OID Value Integer Count Integer Area Double Lat1 Double Lat2 Double