前言：
LandScan 是具有最佳分辨率的全球人口分布数据，它代表周围人口（平均超过 24 小时）。Landscan 使用空间数据和影像分析以及多变量 dasymetric 建模方法来分解行政边界内的人口普查计数。LandScan 将白天的活动和集体旅行习惯整合到一个单一的测量中，以更好地表示人们在平均一天中所处的位置。随着今年的改进，高分辨率图像源被广泛用于验证以完善城市地区、土地覆盖数据以及数千个较小的村庄和人口稠密的地方。（2016年）
为什么 Landscan 很重要？为什么不使用人口普查数据？（2016年）
人口普查数据的收集通常假设一个人的家是他/她的永久居住地。与工作相关的数据，例如办公室或企业的位置，要么未被收集，要么被认为过于私密而无法公开发布。许多不发达国家只有省级层面的基本数据。（2016年）
数据来源：LandScan
数据格式：ArcGIS的栅格数据，含构建好的图层Layer
数据范围：全球
数据分辨率：约1km
数据大小：167M
压缩包大小：68.4M
数据引用格式：ris（附最后）
数据下载地址：
关注公众号 '一个有趣的灵魂W'，回复关键词 'LS2016'。获取下载地址。
引用：
代码语言：javascript复制TY - DATA
AU - Bright, Eddie A.
AU - Rose, Amy N.
AU - Urban, Marie L.
AU - McKee, Jacob J.
PY - 2017
TI - LandScan 2016
CY - Oak Ridge, TN
PB - Oak Ridge National Laboratory
SE - July 1, 2017
T3 - LandScan
ET - 2016
RI - global
C1 - CY 2016
C3 - digital raster data
AB - 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.
RN - When using the LandScan data in publications, please insert this statement as appropriate: "This product was made utilizing the LandScan 2016� 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."
UR - https://landscan.ornl.gov/
