A high-resolution population grid map for Europe
A high-resolution population grid map for Europe
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DOI：
10.1080/17445647.2013.764830
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发表时间：
2013-01-01
期刊：
影响因子：
2.2
通讯作者：
Lavalle, Carlo
中科院分区：
文献类型：
--
作者：
Batista e Silva, Filipe;Gallego, Javier;Lavalle, Carlo
人口数字通常由国家统计机构在小的查点单位（如普查区或建筑单位）收集。然而，对于欧洲的许多国家来说，数据仍然分布在较粗的地理单位，如市政当局。这种分辨率水平不足以在许多领域进行分析。此外，地理单元大小的异质性导致分析中的极大失真，即可修改的面积单元问题（MAUP）。不对称制图技术长期以来一直在世界范围内应用，以获得更精细（和MAUP免费）的人口分布图。这些技术利用辅助地理数据将粗略来源区报告的人口数字分解为一组更精细的区域。以前试图以高分辨率绘制欧洲人口地图时，使用CORINE土地覆盖（CLC）作为辅助数据的主要来源。在本文中，我们测试了新的地理数据集，以生成更新和改进的欧洲人口网格地图。它是测试是否使用更详细的辅助数据在dasymetric映射显着产生更高的精度。作为这一制图工作的最后成果，提出了空间分辨率为100x100米的2006参考年欧洲人口网格图，并对照参考数据进行了验证。在社区一级报告的常住人口、《社区土地分类法》的修订版和关于土壤封闭程度的信息被用作制作最终地图的主要投入。
Population figures are usually collected by national statistical institutes at small enumeration units (e.g. census tracts or building units). However, still for many countries in Europe, data are distributed at coarser geographical units like municipalities. This level of resolution is insufficient for analysis in many fields. In addition, the heterogeneity of the size of the geographical units causes great distortions in analysis, i.e. the Modifiable Areal Unit Problem (MAUP). Dasymetric mapping techniques have long been applied world-wide to derive finer (and MAUP-free) depictions of the population distribution. These techniques disaggregate population figures reported at coarse source zones into a finer set of zones using ancillary geographical data. Previous attempts to map the European population at high resolution have used CORINE Land Cover (CLC) as the main source of ancillary data. In this article, we test new geographical datasets to produce an updated and improved European population grid map. It is tested whether using more detailed ancillary data in the dasymetric mapping significantly yields higher accuracies. As final outcome of this cartographic exercise, a European population grid map for the reference year of 2006, with a spatial resolution of 100 x 100 meters, is presented and validated against reference data. Resident population reported at commune level, a refined version of CLC and information on the soil sealing degree are used as the main inputs to produce the final map.