LandScan 2018 : Global Population Database

Using an innovative approach with Geographic Information Systems and Remote Sensing, ORNL’s LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, 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. LandScan population data are spatially explicit - unlike tabular Census data. 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.

借助地理信息系统（Geographic Information Systems，GIS）与遥感（Remote Sensing）技术的创新研究路径，橡树岭国家实验室（Oak Ridge National Laboratory，ORNL）研发的LandScan数据集是全球人口分布领域的学界通用标准。该数据集采用30角秒（约1公里）的空间分辨率，是当前可获取的分辨率最高的全球人口分布数据，其所表征的是"环境人口（ambient population）"，即24小时时段内的平均人口。作为"研发百强奖（R&D 100 Award）"获奖算法，LandScan算法依托空间数据、影像分析技术以及多变量密度分区建模（dasymetric modeling）方法，对行政边界内的普查人口统计数据进行空间拆分。与传统表格化普查数据不同，LandScan人口数据具备空间显性（spatially explicit）特征。由于不存在普适的人口分布模型能够同时兼顾空间数据的可得性、质量、尺度与精度差异，以及不同地区的文化定居模式差异，因此LandScan人口分布模型均针对每个国家和地区的数据条件与地理特征进行量身定制。

搜集汇总

背景与挑战

背景概述

LandScan 2018是全球人口分布数据库，以约1公里的高分辨率提供24小时平均人口分布数据，采用定制化模型适应不同地区的数据和地理特点。