Night-time lights: A global, long term look at links to socio-economic trends

Citation:

Jeremy Proville, Daniel Zavala-Araiza, and Gernot Wagner. 3/27/2017. “Night-time lights: A global, long term look at links to socio-economic trends.” PLoS ONE, 12, 3. Publisher's Version
night_time_lights.pdf1.41 MB

Abstract:

We use a parallelized spatial analytics platform to process the twenty-one year totality of the longest-running time series of night-time lights data—the Defense Meteorological Satellite Program (DMSP) dataset—surpassing the narrower scope of prior studies to assess changes in area lit of countries globally. Doing so allows a retrospective look at the global, long-term relationships between night-time lights and a series of socio-economic indicators. We find the strongest correlations with electricity consumption, CO2 emissions, and GDP, followed by population, CH4 emissions, N2O emissions, poverty (inverse) and F-gas emissions. Relating area lit to electricity consumption shows that while a basic linear model provides a good statistical fit, regional and temporal trends are found to have a significant impact.
Last updated on 07/12/2017