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Brown, M.E., Grace, K., Shively, G., Johnson, K.B., Carroll, M.L. 2014. Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change. Population and Environment. [online journal] doi 10.100

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Li, C, Wang, J, Wang, L, Hu, L, Gong, P, 2014. Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery. Remote Sensing, 6(2): 964-983

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Silva, Julie A. and Alfons W. Mosimane. 2014. “How Could I Live Here and Not Be A Member?” Social Motives for Participating in Namibian Conservation Programs. Human Ecology. 42:183-197.

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Guan, D., Klasen, S., Hubacek, K., Feng, K., Liu, Z., He, K., Geng, Y., Zhang, Q., (2014), Determinants of Stagnating Carbon Intensity in China, Nature Climate Change 4, 1017–1023.

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A. Baraldi and M. Humber, "Quality assessment of pre-classification maps generated from spaceborne/airborne multi-spectral images by the Satellite Image Automatic Mapper™ and Atmospheric/Topographic Correction™-Spectral Classification software products:

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