Nighttime Lights and Population Migration: Revisiting Classic Demographic Perspectives with an Analysis of Recent European Data

[1]  P H Rees,et al.  The Estimation of Population Microdata by Using Data from Small Area Statistics and Samples of Anonymised Records , 1998, Environment & planning A.

[2]  J. Henderson,et al.  A Bright Idea for Measuring Economic Growth. , 2011, The American economic review.

[3]  C. Elvidge,et al.  Why VIIRS data are superior to DMSP for mapping nighttime lights , 2013 .

[4]  Stephen P. Mills,et al.  Suomi satellite brings to light a unique frontier of nighttime environmental sensing capabilities , 2012, Proceedings of the National Academy of Sciences.

[5]  Xi Chen.  Explaining Subnational Infant Mortality and Poverty Rates: What Can We Learn from Night-Time Lights? , 2015 .

[6]  David E. Bloom,et al.  The new economics of labor migration , 1985 .

[7]  G. Fields.  Dualism in the Labor Market: A Perspective on the Lewis Model after Half a Century , 2004 .

[8]  D. Roberts,et al.  Census from Heaven: An estimate of the global human population using night-time satellite imagery , 2001 .

[9]  Jürgen Fischer,et al.  High-Resolution Imagery of Earth at Night: New Sources, Opportunities and Challenges , 2014, Remote. Sens..

[10]  Dar A. Roberts,et al.  A Comparison of Nighttime Satellite Imagery and Population Density for the Continental United States , 1997 .

[11]  C. Elvidge,et al.  VIIRS night-time lights , 2017, Remote Sensing of Night-time Light.

[12]  J. Henderson,et al.  Measuring Economic Growth from Outer Space , 2009, The American economic review.

[13]  E. Lee.  A theory of migration , 1966, Demography.

[14]  K. Baugh,et al.  Light pollution in USA and Europe: The good, the bad and the ugly. , 2019, Journal of environmental management.

[15]  Xi Chen,et al.  A Test of the New VIIRS Lights Data Set: Population and Economic Output in Africa , 2015, Remote. Sens..

[16]  J. Muller,et al.  Mapping regional economic activity from night-time light satellite imagery , 2006 .

[17]  C. Elvidge,et al.  Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption , 1997 .

[18]  G. Zipf.  The P 1 P 2 D Hypothesis: On the Intercity Movement of Persons , 1946 .

[19]  W. Nordhaus,et al.  Using luminosity data as a proxy for economic statistics , 2011, Proceedings of the National Academy of Sciences.

[20]  Ola Hall,et al.  Monitoring economic development from space : using nighttime light and land cover data to measure economic growth , 2015 .

[21]  P. Sutton,et al.  Creating a Global Grid of Distributed Fossil Fuel CO 2 Emissions from Nighttime Satellite Imagery , 2010 .

[22]  John A. Quinn,et al.  Humanitarian applications of machine learning with remote-sensing data: review and case study in refugee settlement mapping , 2018, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[23]  Robert F. Hébert,et al.  Retrospectives: The Origins of Neoclassical Microeconomics , 2002 .

[24]  Malay Ghosh,et al.  Small Area Estimation: An Appraisal , 1994 .

[25]  M. Lazar.  Shedding Light on the Global Distribution of Economic Activity , 2010 .

[26]  C. Elvidge,et al.  Spatial analysis of global urban extent from DMSP-OLS night lights , 2005 .

[27]  Xi Chen,et al.  VIIRS Nighttime Lights in the Estimation of Cross-Sectional and Time-Series GDP , 2019, Remote. Sens..

[28]  E. Ravenstein.  The Laws of Migration , 1885, Encyclopedia of Gerontology and Population Aging.

[29]  Shamil Maksyutov,et al.  A very high-resolution (1 km×1 km) global fossil fuel CO2 emission inventory derived using a point source database and satellite observations of nighttime lights , 2011 .

[30]  K. Gaston,et al.  Contrasting trends in light pollution across Europe based on satellite observed night time lights , 2014, Scientific Reports.

[31]  Budhendra L. Bhaduri,et al.  A global poverty map derived from satellite data , 2009, Comput. Geosci..

[32]  C. P. Lo.  Modeling the population of China using DMSP operational linescan system nighttime data , 2001 .

[33]  W. Nordhaus,et al.  A sharper image? Estimates of the precision of nighttime lights as a proxy for economic statistics , 2015 .

[34]  Maria Francisca Archila Bustos,et al.  Nighttime lights and population changes in Europe 1992–2012 , 2015, Ambio.

[35]  D. Karemera,et al.  A gravity model analysis of international migration to North America , 2000 .

[36]  P. Sutton,et al.  Building and Evaluating Models to Estimate Ambient Population Density , 2003 .

[37]  Xi Chen.  Addressing Measurement Error Bias in GDP with Nighttime Lights and an Application to Infant Mortality with Chinese County Data , 2016 .