GHS population grid, derived from EUROSTAT census data (2011) and ESM R2016 - OBSOLETE RELEASE

The Global Human Settlement Layer (GHSL) project is supported by European Commission, Joint Research Center and Directorate-General for Regional and Urban Policy. The GHSL produces new global spatial information, evidence-based analytics, and knowledge describing the human presence in the planet.

The GHSL relies on the design and implementation of new spatial data mining technologies allowing to process automatically and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteering geographic information sources. Spatial data reporting objectively and systematically about the presence of population and built-up infrastructures are necessary for any evidence-based modelling or assessing of i) human and physical exposure to threats as environmental contamination and degradation, natural disasters and conflicts, ii) impact of human activities on ecosystems, and iii) access to resources.

This spatial raster dataset depicts the distribution and density of residential population, expressed as the number of people per cell. Resident population from censuses for year 2011 provided by Eurostat were disaggregated from source zones to grid cells, informed by land use and land cover from Corine Land Cover Refined 2006 and by the distribution and density of built-up as mapped in the European Settlement Map 2016 layer.

全球人类居住图层（Global Human Settlement Layer，GHSL）项目由欧盟委员会联合研究中心与区域与城市政策总司资助支持。GHSL可生成全新的全球空间信息、基于实证的分析成果与知识体系，用以描述全球范围内的人类活动与居住分布状况。
GHSL依托新型空间数据挖掘技术的研发与落地，可实现自动化处理，并从海量异构数据源中提取分析成果与知识，此类数据源涵盖全球精细尺度卫星影像数据流、人口普查数据，以及众包或志愿地理信息资源。能够客观、系统地反映人口与建成基础设施分布状况的空间数据，是开展以下三类基于实证的建模与评估工作的核心基础：其一，人类与实体面临环境污染与退化、自然灾害及冲突等威胁的暴露风险；其二，人类活动对生态系统造成的影响；其三，资源获取的可达性情况。
本空间栅格数据集展示了居住人口的分布与密度，以每栅格单元的居住人口数作为量化表达单位。由欧盟统计局（Eurostat）提供的2011年人口普查常住人口数据，以2006年精细化科里宁土地覆盖（Corine Land Cover Refined 2006）数据，以及2016年欧洲居住地图（European Settlement Map 2016）图层所绘制的建成区分布与密度为参照依据，从源统计分区拆解分配至各栅格单元。