Skip navigation

Escalating environmental inequalities in smaller European regions: a data mining

Escalating environmental inequalities in smaller European regions: a data mining

Mashhoodi, Bardia ORCID logoORCID: https://orcid.org/0000-0002-7037-3932 and Muñoz Unceta, Pablo ORCID logoORCID: https://orcid.org/0000-0003-1670-2691 (2023) Escalating environmental inequalities in smaller European regions: a data mining. Data in Brief, 51:109792. ISSN 2352-3409 (Online) (doi:10.1016/j.dib.2023.109792)

[thumbnail of Open Access Article]
Preview
PDF (Open Access Article)
50030 MASHHOODI_Escalating_Environmental_Inequalities_In_Smaller_European_Regions_A_Data_Mining_(OA)_2023.pdf - Published Version
Available under License Creative Commons Attribution.

Download (2MB) | Preview

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Gini, environmental justice, nuts regions, Europe, EU, spatial inequality, environmental inequality
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Faculty of Engineering & Science
Last Modified: 17 Mar 2025 15:23
URI: http://gala.gre.ac.uk/id/eprint/50030

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics