Escalating environmental inequalities in larger European regions: A data mining

被引:0
作者
Mashhoodi, Bardia [1 ]
Unceta, Pablo Munoz [2 ]
机构
[1] Wageningen Univ & Res, Dept Environm Sci, Landscape Architecture & Spatial Planning Grp, POB 47, NL-6700 AA Wageningen, Netherlands
[2] Inst Adv Architecture Catalonia, C Pujades,102, Barcelona 08005, Spain
关键词
Gini; Environmental justice; Nuts regions; Europe; EU; Spatial inequality; Environmental inequality;
D O I
10.1016/j.dib.2023.109792
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Environmental inequality has been the focus of European scientists and policymakers in the past decades. This database is prepared to provide researchers with a multiscale, multivariate database on environmental inequality across different scales, i.e. the so-called NUTS region levels. To do so, the database offers the population-weighted average and Gini coefficient at four European NUTS region levels (NUTS 0, NUTS 1, NUTS 2, NUTS 3) over exposure to air pollution (NO2, O3, PM10, PM2.5), summer land surface temperature (LST), and Tree and Non-tree vegetated surfaces. The dataset can be used to compare and map the magnitude of inequalities related to each of the environmental hazards/services. Furthermore, it is helpful to identify the levels of scales with the highest and lowest levels of environmental inequality. To this end, this manuscript provides histograms and maps to present the potential for the use of the database.(c) 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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页数:9
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