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Mapping population density in Functional Urban Areas - A method to downscale population statistics to Urban Atlas polygons

机译:在功能性城市区域中绘制人口密度-一种将人口统计量缩减至城市地图集多边形的方法

摘要

Urban Atlas 2012 is a powerful geographical dataset that describes land use/land cover at high spatial resolution for nearly 700 European Functional Urban Areas of more than 50,000 inhabitants in 31 European countries (EU28 + EFTA). The objective of the work described in this report was to enrich the Urban Atlas dataset by including estimates of residential population at the vector polygon level.The estimation was done by downscaling, or disaggregating, census population reported at country-specific geometries (‘source geometry’) to the Urban Atlas land use/land cover polygons (‘target geometry’). The downscaling method can be described as a ‘smart’ areal interpolation which combined land use/land cover information from Urban Atlas, building densities from the European Settlement Map and census data. For numerous Functional Urban Areas for which population data were previously only available at coarse resolution (e.g. municipality, or 1 Km2 grid cells), these newly released estimates represent a significant increase in spatial resolution, enabling diverse fine scale analyses for the whole Urban Atlas dataset.With the free-of-charge distribution of this dataset, the number of potential users and applications of the Urban Atlas can further increase. Detailed maps of population density are very important for the study and characterisation of urban areas, and are essential inputs for urban and infrastructure planning and management, disaster risk assessment and mitigation, social policies, and analysis of quality of life and well-being. Moreover, this work further expands the knowledge base of JRC’s LUISA territorial modelling platform, used to assess regional and local impacts of European trends, policies and investments.
机译:2012年城市地图集是一个功能强大的地理数据集,它描述了欧洲31个国家(EU28 + EFTA)的近700个欧洲功能性城市地区,有50,000多名居民,以高空间分辨率描述了土地利用/土地覆盖。本报告中所述工作的目的是通过包括矢量多边形级别的居民人口估算来丰富Urban Atlas数据集。 ')到城市地图集的土地使用/土地覆盖多边形(“目标几何图形”)。缩减规模的方法可以描述为“智能”面插值法,它结合了Urban Atlas的土地使用/土地覆盖信息,European Settlement Map和人口普查数据中的建筑密度。对于以前只能以粗分辨率获得人口数据的众多功能性城市区域(例如,市政当局或1 Km2网格单元),这些新发布的估计值表示空间分辨率的显着提高,从而可以对整个Urban Atlas数据集进行各种精细的规模分析通过免费分发该数据集,城市地图集的潜在用户和应用程序的数量会进一步增加。详细的人口密度图对于研究和表征城市地区非常重要,并且是城市和基础设施规划和管理,灾难风险评估和缓解,社会政策以及生活质量和福祉分析的重要输入。此外,这项工作进一步扩展了JRC的LUISA区域建模平台的知识库,该平台用于评估欧洲趋势,政策和投资对地区和本地的影响。

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