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Porfiri, Maurizio; Marín, Manuel Ruiz. 2020. An information-theoretic approach to study spatial dependencies in small datasets. [Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences] . 476(2242): 20200113 DOI: https://doi.org/10.1098/rspa.2020.0113
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
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Pradhan, Prajal; Kriewald, Steffen; Costa, Luis; Rybski, Diego; Benton, Tim; Fischer, Günther; Kropp, Juergen P. 2020. Urban food systems: how regionalization can contribute to climate change mitigation. [Environmental Science & Technology] . 54(17): 10551-10560 DOI: https://doi.org/10.1021/acs.est.0c02739
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
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Prentice, Melanie B.; Bowman, Jeff; Murray, Dennis L.; Khidas, Kamal; Wilson, Paul J. 2020. Spatial and environmental influences on selection in a clock gene coding trinucleotide repeat in Canada lynx (Lynx canadensis). [Molecular Ecology] . 29(23): 4637-4652 DOI: https://doi.org/10.1111/mec.15652
SEDAC Data Collection(s):
(Journal Article)
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Pu, Qiang; Yoo, Eun-Hye. 2020. Spatio-temporal modeling of PM2.5 concentrations with missing data problem: a case study in Beijing, China. [International Journal of Geographical Information Science] . 34(3): 423-447 DOI: https://doi.org/10.1080/13658816.2019.1664742
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Razenkova, Elena; Radeloff, Volker C.; Dubinin, Maxim; Bragina, Eugenia V.; Allen, Andrew M.; Clayton, Murray K.; Pidgeon, Anna M.; Baskin, Leonid M.; Coops, Nicholas C.; Hobi, Martina L. 2020. Vegetation productivity summarized by the Dynamic Habitat Indices explains broad-scale patterns of moose abundance across Russia. [Scientific Reports] . 10(1): 836 DOI: https://doi.org/10.1038/s41598-019-57308-8
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
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Rojas-Andrés, Blanca M; Padilla-García, Nélida; Pedro, Manuel de; López-González, Noemí; Delgado, Luis; Albach, Dirk C; Castro, Mariana; Castro, Sílvia; Loureiro, João; Martínez-Ortega, M Montserrat. 2020. Environmental differences are correlated with the distribution pattern of cytotypes in Veronica subsection Pentasepalae at a broad scale. [Annals of Botany] . 125(3): 471-484 DOI: https://doi.org/10.1093/aob/mcz182
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
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Sahu, Shovan Kumar; Chen, Lei; Liu, Shuchang; Ding, Dian; Xing, Jia. 2020. The impact of aerosol direct radiative effects on PM2.5-related health risk in Northern Hemisphere during 2013–2017. [Chemosphere] . 254: 126832 DOI: https://doi.org/10.1016/j.chemosphere.2020.126832
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Shaddick, G.; Thomas, M. L.; Mudu, P.; Ruggeri, G.; Gumy, S. 2020. Half the world’s population are exposed to increasing air pollution. [npj Climate and Atmospheric Science] . 3(1): 23 DOI: https://doi.org/10.1038/s41612-020-0124-2
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Sokolik, Irina N.; Shiklomanov, Alexander I.; Xi, Xin; de Beurs, Kirsten M.; Tatarskii, Viatcheslav V. 2020. Quantifying the Anthropogenic Signature in Drylands of Central Asia and Its Impact on Water Scarcity and Dust Emissions. [Landscape Dynamics of Drylands across Greater Central Asia: People, Societies and Ecosystems] Ed(s): Gutman, Garik; Chen, Jiquan; Henebry, Geoffrey M.; Kappas, Martin. pp: 49-69 DOI: https://doi.org/10.1007/978-3-030-30742-4_4
SEDAC Data Collection(s):
(Book Section)
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Srivastava, Vivek; Griess, Verena C.; Keena, Melody A. 2020. Assessing the potential distribution of Asian gypsy moth in Canada: A comparison of two methodological approaches. [Scientific Reports] . 10(1): 22 DOI: https://doi.org/10.1038/s41598-019-57020-7
SEDAC Data Collection(s):
(Journal Article)
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