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Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016). Combining satellite imagery and machine learning to predict poverty. Science, 353(6301), 790–794.
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Jing, X., Shao, X., Cao, C., Fu, X., & Yan, L. (2016). Comparison between the Suomi-NPP Day-Night Band and DMSP-OLS for Correlating Socio-Economic Variables at the Provincial Level in China. Remote Sensing, 8(1), 17.
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Foster, J. G., Algera, D. A., Brownscombe, J. W., Zolderdo, A. J., & Cooke, S. J. (2016). Consequences of Different Types of Littoral Zone Light Pollution on the Parental Care Behaviour of a Freshwater Teleost Fish. Water Air Soil Pollut, 227(11).
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Farnworth, B., Innes, J., & Waas, J. R. (2016). Converting Predation Cues into Conservation Tools: The Effect of Light on Mouse Foraging Behaviour. PLoS One, 11(1), e0145432.
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Cao, Z., Wu, Z., Kuang, Y., Huang, N., & Wang, M. (2016). Coupling an Intercalibration of Radiance-Calibrated Nighttime Light Images and Land Use/Cover Data for Modeling and Analyzing the Distribution of GDP in Guangdong, China. Sustainability, 8(2), 108.
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