Displaying 1 - 10 of 11
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Dmowska, Anna; Stepinski, Tomasz F. 2014. High resolution dasymetric model of U.S demographics with application to spatial distribution of racial diversity. [Applied Geography] . 53: 417-426 DOI: https://doi.org/10.1016/j.apgeog.2014.07.003
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
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Nelson, Erik J.; Withey, John C.; Pennington, Derric; Lawler, Joshua J. 2014. Identifying the Opportunity Cost of Critical Habitat Designation under the U.S. Endangered Species Act. [Economics Department Working Paper Series] Bowdoin College. Issue: 10-2014: 27
Related URL(s): http://digitalcommons.bowdoin.edu/econpapers/11
SEDAC Data Collection(s):
usgrid
(Report)
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Nutongkaew, Pranee; Waewsak, Jompob; Chaichana, Tanate; Gagnon, Yves. 2014. Greenhouse gases emission of refuse derived fuel-5 production from municipal waste and palm kernel. [Energy Procedia] . 52: 362-370 DOI: https://doi.org/10.1016/j.egypro.2014.07.087
SEDAC Data Collection(s):
ipcc
(Journal Article)
export
Paci, Daniele. 2014. Human Health Impacts of Climate Change in Europe: Report for the PESETA II Project. European Commission Joint Research Centre. pp: 28 DOI: https://doi.org/10.2791/64481
SEDAC Data Collection(s):
ipcc
sdp
(Report)
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Hess, Jeremy J.; Malilay, Josephine N.; Parkinson, Alan J. 2008. Climate change: The importance of place. [American Journal of Preventive Medicine] . 35(5): 468-478 DOI: https://doi.org/10.1016/j.amepre.2008.08.024
SEDAC Data Collection(s):
ipcc
(Journal Article)
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Lambert, Rebecca Click; Kolivras, Korine N.; Resler, Lynn M.; Brewster, Carlyle C.; Paulson, Sally L. 2008. The potential for emergence of Chagas disease in the United States. [Geospatial Health] . 2(2): 227-239 DOI: https://doi.org/10.4081/gh.2008.246
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Lin, Jin-Tai; Wuebbles, Donald J.; Liang, Xin-Zhong. 2008. Effects of intercontinental transport on surface ozone over the United States: Present and future assessment with a global model. [Geophysical Research Letters] . 35: L02805 DOI: https://doi.org/10.1029/2007gl031415
SEDAC Data Collection(s):
ipcc
(Journal Article)
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Mujumdar, P. P.; Ghosh, Subimal. 2008. Modeling GCM and scenario uncertainty using a possibilistic approach: Application to the Mahanadi River, India. [Water Resources Research] . 44: W06407 DOI: https://doi.org/10.1029/2007wr006137
SEDAC Data Collection(s):
ipcc
(Journal Article)
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van Ruijven, Bas; Urban, Frauke; Benders, René M. J.; Moll, Henri C.; van der Sluijs, Jeroen P.; de Vries, Bert; van Vuuren, Detlef P. 2008. Modeling energy and development: An evaluation of models and concepts. [World Development] . 36(12): 2801-2821 DOI: https://doi.org/10.1016/j.worlddev.2008.01.011
SEDAC Data Collection(s):
ipcc
(Journal Article)
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Lorenzoni, Irene; Jordan, Andrew; Hulme, Mike; Kerry Turner, R.; O'Riordan, Tim. 2000. A co-evolutionary approach to climate change impact assessment: Part I. Integrating socio-economic and climate change scenarios. [Global Environmental Change] . 10(1): 57-68 DOI: https://doi.org/10.1016/S0959-3780(00)00012-1
SEDAC Data Collection(s):
ipcc
(Journal Article)
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