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Author (up) Proville, J.; Zavala-Araiza, D.; Wagner, G. url  doi
openurl 
  Title Night-time lights: A global, long term look at links to socio-economic trends Type Journal Article
  Year 2017 Publication PloS one Abbreviated Journal PLoS One  
  Volume 12 Issue 3 Pages e0174610  
  Keywords Remote Sensing; Economics  
  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.  
  Address John A. Paulson School of Engineering and Applied Sciences, Harvard University, and Harvard University Center for the Environment, Cambridge, Massachusetts, United States of America  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1932-6203 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:28346500 Approved no  
  Call Number LoNNe @ kyba @ Serial 1645  
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