Gridded Population of the World Data Version 4 (GPW 4)

The Gridded Population of the World (GPW) collection, now in its fourth version (GPWv4), models the distribution of human population (counts and densities) on a continuous global raster surface. Since the release of the first version of this global population surface in 1995, the essential inputs to GPW have been population census tables and corresponding geographic boundaries. The purpose of GPW is to provide a spatially disaggregated population layer that is compatible with data sets from social, economic, and Earth science disciplines, and remote sensing. It provides globally consistent and spatially explicit data for use in research, policy-making, and communications.
For GPWv4, population input data are collected at the most detailed spatial resolution available from the results of the 2010 round of Population and Housing Censuses, which occurred between 2005 and 2014. The input data are extrapolated to produce population estimates for the years 2000, 2005, 2010, 2015, and 2020. A set of estimates adjusted to national level, historic and future, population predictions from the United Nation's World Population Prospects report are also produced for the same set of years. The raster data sets are constructed from national or subnational input administrative units to which the estimates have been matched. GPWv4 is gridded with an output resolution of 30 arc-seconds (approximately 1 km at the equator)

世界栅格人口（Gridded Population of the World, GPW）数据集目前已更新至第四版（GPWv4），该数据集旨在对全球连续栅格表面上的人类人口分布（人口数量与密度）进行建模。自1995年首版全球人口栅格表面数据集发布以来，GPW的核心输入数据始终为人口普查表与对应地理边界数据。本数据集的开发目标是提供空间离散化的人口图层，可与社会科学、经济学、地球科学以及遥感领域的数据集兼容，为科研、政策制定与信息传播提供全球一致且空间显式的精准数据。
针对GPWv4，其人口输入数据取自2005年至2014年间开展的2010年周期人口与住房普查（Population and Housing Censuses）可获取的最高空间分辨率数据。研究人员通过外推生成2000年、2005年、2010年、2015年及2020年的人口估算值。此外，还针对上述年份生成了经联合国《世界人口展望》（World Population Prospects）报告中的国家级历史与未来人口预测数据校准后的人口估算数据集。该栅格数据集基于匹配了人口估算值的国家级或次国家级行政单元构建而成，GPWv4的输出分辨率为30弧秒（赤道地区约合1公里）。

搜集汇总

背景与挑战

背景概述

GPW 4是一个全球人口分布栅格数据集，提供2000-2020年的人口数量和密度估计，空间分辨率为30弧秒（约1公里），适用于跨学科研究和政策制定。