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Title: LandScan 2017 High-Resolution Global Population Data Set

Abstract

The LandScan data set is a worldwide population database compiled on a 30" x 30" latitude/longitude grid. Census counts (at sub-national level) were apportioned to each grid cell based on likelihood coefficients, which are based on land cover, slope, road proximity, high-resolution imagery, and other data sets. The LandScan data set was developed as part of Oak Ridge National Laboratory (ORNL) Global Population Project for estimating ambient populations at risk.

Authors:
 [1];  [1];  [1];  [1]
  1. Oak Ridge National Laboratory
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1524426
Report Number(s):
LandScan 2017 High-Resolution Global Population Da; 005854MLTPL00
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Software
Software Revision:
00
Software Package Number:
005854
Software CPU:
MLTPL
Source Code Available:
Yes
Related Software:
NA
Country of Publication:
United States

Citation Formats

Bright, Edward A, Rose, Amy N, Urban, Marie L, and McKee, Jacob. LandScan 2017 High-Resolution Global Population Data Set. Computer software. Vers. 00. USDOE. 1 Jan. 2018. Web.
Bright, Edward A, Rose, Amy N, Urban, Marie L, & McKee, Jacob. (2018, January 1). LandScan 2017 High-Resolution Global Population Data Set (Version 00) [Computer software].
Bright, Edward A, Rose, Amy N, Urban, Marie L, and McKee, Jacob. LandScan 2017 High-Resolution Global Population Data Set. Computer software. Version 00. January 1, 2018.
@misc{osti_1524426,
title = {LandScan 2017 High-Resolution Global Population Data Set, Version 00},
author = {Bright, Edward A and Rose, Amy N and Urban, Marie L and McKee, Jacob},
abstractNote = {The LandScan data set is a worldwide population database compiled on a 30" x 30" latitude/longitude grid. Census counts (at sub-national level) were apportioned to each grid cell based on likelihood coefficients, which are based on land cover, slope, road proximity, high-resolution imagery, and other data sets. The LandScan data set was developed as part of Oak Ridge National Laboratory (ORNL) Global Population Project for estimating ambient populations at risk.},
doi = {},
year = {2018},
month = {1},
note =
}

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