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Cattaneo, Cristina; Foreman, Timothy. 2021. Climate Change, International Migration, and Interstate Conflict. [CReAM Discussion Paper Series] Centre for Research & Analysis of Migration (CReAM). pp: 52
Related URL(s): https://www.cream-migration.org/publ_uploads/CDP_09_21.pdf
SEDAC Data Collection(s):
gpw-v4
(Report)
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Hirabayashi, Yukiko; Tanoue, Masahiro; Sasaki, Orie; Zhou, Xudong; Yamazaki, Dai. 2021. Global exposure to flooding from the new CMIP6 climate model projections. [Scientific Reports] . 11(1): 3740 DOI: https://doi.org/10.1038/s41598-021-83279-w
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
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Hirabayashi, Yukiko; Tanoue, Masahiro; Sasaki, Orie; Zhou, Xudong; Yamazaki, Dai. 2021. Global exposure to flooding from the new CMIP6 climate model projections. [Scientific Reports] . 11(1): 3740 DOI: https://doi.org/10.1038/s41598-021-83279-w
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Maino, James L.; Schouten, Rafael; Umina, Paul. 2021. Predicting the global invasion of Drosophila suzukii to improve Australian biosecurity preparedness. [Journal of Applied Ecology] . 58(4): 789-800 DOI: https://doi.org/10.1111/1365-2664.13812
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
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Mohanty, Mohit P.; Simonovic, Slobodan P. 2021. Understanding dynamics of population flood exposure in Canada with multiple high-resolution population datasets. [Science of The Total Environment] . 759: 143559 DOI: https://doi.org/10.1016/j.scitotenv.2020.143559
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Journal Article)
export
Sampedro, Jon; Cui, Ryna Yiyun; McJeon, Haewon; Smith, Steven J.; Hultman, Nathan; He, Linlang; Sen, Arijit; Van Dingenen, Rita; Cazcarro, Ignacio. 2021. Quantifying the reductions in mortality from air-pollution by cancelling new coal power plants. [Energy and Climate Change] . 2: 100023 DOI: https://doi.org/10.1016/j.egycc.2020.100023
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
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Seiler, Johannes; Harttgen, Kenneth; Kneib, Thomas; Lang, Stefan. 2021. Modelling children's anthropometric status using Bayesian distributional regression merging socio-economic and remote sensed data from South Asia and Sub-Saharan Africa. [Economics & Human Biology] . 40: 100950 DOI: https://doi.org/10.1016/j.ehb.2020.100950
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Journal Article)
export
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