dedup_wf_001--283241e9a106392668d0f8a08725953d

Satellite observations of night-time emitted lights describe a geography of the spatial distribution of resource use. Measurements of nocturnal lights enable the calculation of the total light emitted from each country of the world, and the light emitted per capita. We consider different groups of countries that share a land or maritime border and whose light per capita can be more equally/unequally distributed. A sharp difference in light per capita among neighboring countries reflects marked differences in economic welfare and in the extent of built environments. We demonstrate how this geography of nocturnal lights informs our understanding of the dynamics of conflict at the national and regional scale. We propose an index of regional disparity and test its ability to detect conflict dynamics by relating the index score with the occurrence and intensity of conflicts as classified by the Heidelberg Institute for International Conflict Research’s Conflict Barometer 2012 for the countries of the world. This method can be used to produce a global available temporal sampling of “cold spots” of disparity where conflicts are likely to occur. This will help foresee the identification and monitoring of regions of the world,which are becoming particularly unstable, assisting in the definition and execution of timely and proactive policies.

Tags
Data and Resources
To access the resources you must log in

This item has no data

Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.6084/m9.figshare.4641109.v1
PID https://www.doi.org/10.6084/m9.figshare.4641109
URL https://dx.doi.org/10.6084/m9.figshare.4641109.v1
URL http://dx.doi.org/10.6084/m9.figshare.4641109
URL https://dx.doi.org/10.6084/m9.figshare.4641109
URL http://dx.doi.org/10.6084/m9.figshare.4641109.v1
URL https://figshare.com/articles/Dark_Times_nighttime_satellite_imagery_as_a_detector_of_regional_disparity_and_the_geography_of_conflict/4641109
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right Open Access
Attribution

Description: Authorships and contributors

Field Value
Author Coscieme, Luca
Author Sutton, Paul C.
Author Sharolyn Anderson
Author Liu, Qing
Author Elvidge, Christopher D.
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From figshare; Datacite
Hosted By figshare
Publication Date 2017-02-10
Additional Info
Field Value
Language UNKNOWN
Resource Type Dataset
keyword FOS: Health sciences
keyword FOS: Biological sciences
keyword FOS: Earth and related environmental sciences
system:type dataset
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::283241e9a106392668d0f8a08725953d
Author jsonws_user
Last Updated 12 January 2021, 20:21 (CET)
Created 12 January 2021, 20:21 (CET)