Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3

The Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3 data set contains land areas with urban, quasi-urban, rural, and total populations (counts) within the LECZ for 234 countries and other recognized territories for the years 1990, 2000, and 2015. This data set updates initial estimates for the LECZ population by drawing on a newer collection of input data, and provides a range of estimates for at-risk population and land area. Constructing accurate estimates requires high-quality and methodologically consistent input data, and the LECZv3 evaluates multiple data sources for population totals, digital elevation model, and spatially-delimited urban classifications. Users can find the paper "Estimating Population and Urban Areas at Risk of Coastal Hazards, 1990-2015: How data choices matter" (MacManus, et al. 2021) in order to evaluate selected inputs for modeling Low Elevation Coastal Zones. According to the paper, the following are considered core data sets for the purposes of LECZv3 estimates: Multi-Error-Removed Improved-Terrain Digital Elevation Model (MERIT-DEM), Global Human Settlement (GHSL) Population Grid R2019 and Degree of Urbanization Settlement Model Grid R2019a v2, and the Gridded Population of the World, Version 4 (GPWv4), Revision 11. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) and the City University of New York (CUNY) Institute for Demographic Research (CIDR).

低海拔沿海地带（Low Elevation Coastal Zone，以下简称LECZ）城乡人口与土地面积估算数据集（第三版）涵盖了1990年、2000年及2015年三个年份，234个国家及其他公认领地内，LECZ范围内的城镇、准城镇、乡村及总人口（数量统计）的土地面积数据。本数据集依托更新后的输入数据集对LECZ人口的初始估算值进行了修订，并提供了受威胁人口与土地面积的多组估算结果。构建精准的人口与土地面积估算需依托高质量且方法学一致的输入数据，而LECZ第三版（LECZv3）针对人口总量、数字高程模型（Digital Elevation Model）以及空间划定的城镇分类方案，对多源数据进行了评估。用户可查阅论文"Estimating Population and Urban Areas at Risk of Coastal Hazards, 1990-2015: How data choices matter"（MacManus等，2021），以了解用于LECZ建模的选定输入数据的评估方法。根据该论文，用于LECZv3估算的核心数据集包括：多误差消除改进地形数字高程模型（Multi-Error-Removed Improved-Terrain Digital Elevation Model，MERIT-DEM）、全球人类住区（Global Human Settlement，GHSL）2019版人口网格数据与2019a v2版城市化程度住区模型网格数据，以及世界网格人口数据集第四版（Gridded Population of the World, Version 4，GPWv4）修订版11。本数据集由哥伦比亚大学国际地球科学信息网络中心（Columbia University Center for International Earth Science Information Network，CIESIN）与纽约城市大学人口研究学院（City University of New York, CUNY Institute for Demographic Research，CIDR）联合制作。