Displaying 1 - 10 of 16
Operations
Amior, Michael. 2020. Immigration, Local Crowd-Out and Undercover Bias. [CEP Discussion Paper] Centre for Economic Performance, London School of Economics and Political Science. Issue: CEPDP1669: 60
Related URL(s): http://cep.lse.ac.uk/_new/publications/abstract.asp
SEDAC Data Collection(s):
acrp
(Report)
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Díaz, Srahyrlandy Rocio; Cadena, Edel; Adame, Salvador; Dávila, Norma. 2020. Landslides in Mexico: their occurrence and social impact since 1935. [Landslides] . 17: 379-394 DOI: https://doi.org/10.1007/s10346-019-01285-6
SEDAC Data Collection(s):
ndh
(Journal Article)
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Gu, Xihui; Zhang, Qiang; Li, Jianfeng; Chen, Deliang; Singh, Vijay P.; Zhang, Yongqiang; Liu, Jianyu; Shen, Zexi; Yu, Huiqian. 2020. Impacts of anthropogenic warming and uneven regional socio-economic development on global river flood risk. [Journal of Hydrology] . 590: 125262 DOI: https://doi.org/10.1016/j.jhydrol.2020.125262
SEDAC Data Collection(s):
gpw-v3
ndh
(Journal Article)
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Sterzel, Till; Lüdeke, Matthias K. B.; Walther, Carsten; Kok, Marcel T. J.; Sietz, Diana; Lucas, Paul L. 2020. Typology of coastal urban vulnerability under rapid urbanization. [PLOS ONE] . 15(1): e0220936 DOI: https://doi.org/10.1371/journal.pone.0220936
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
ndh
(Journal Article)
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Stewart-Sinclair, Phoebe J.; Last, Kim S.; Payne, Ben L.; Wilding, Thomas A. 2020. A global assessment of the vulnerability of shellfish aquaculture to climate change and ocean acidification. [Ecology and Evolution] . 10(7): 3518-3534 DOI: https://doi.org/10.1002/ece3.6149
SEDAC Data Collection(s):
ndh
(Journal Article)
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Sullivan, Teresa A. 2020. Privacy and Data Protection. [Census 2020: Understanding the Issues] pp: 69-84 DOI: https://doi.org/10.1007/978-3-030-40578-6_5
SEDAC Data Collection(s):
acrp
(Book Section)
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Suwal, Madan Krishna; Huettmann, Falk. 2020. A rather short story of shared GIS data layers in the Hindu Kush-Himalayas: State of the art, justifications and urgent suggestions for a sustainable global data governance with open access and open source coming to the rescue. [Hindu Kush-Himalaya Watersheds Downhill: Landscape Ecology and Conservation Perspectives] Ed(s): Regmi, Ganga Ram; Huettmann, Falk. pp: 521-563 DOI: https://doi.org/10.1007/978-3-030-36275-1_26
SEDAC Data Collection(s):
gpw-v4
groads
ndh
(Book Section)
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Van Coppenolle, Rebecca; Temmerman, Stijn. 2020. Identifying global hotspots where coastal wetland conservation can contribute to nature-based mitigation of coastal flood risks. [Global and Planetary Change] . 187: 103125 DOI: https://doi.org/10.1016/j.gloplacha.2020.103125
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ndh
(Journal Article)
export
Zhou, Yang; Li, Yurui; Liu, Yansui. 2020. The nexus between regional eco-environmental degradation and rural impoverishment in China. [Habitat International] . 96: 102086 DOI: https://doi.org/10.1016/j.habitatint.2019.102086
SEDAC Data Collection(s):
ndh
(Journal Article)
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Bivand, Roger S.; Pebesma, Edzer; Gómez-Rubio, Virgilio. 2013. Modelling Areal Data. [Applied Spatial Data Analysis with R] Series: Use R!. 10: 263-318 DOI: https://doi.org/10.1007/978-1-4614-7618-4_9
SEDAC Data Collection(s):
acrp
(Book Section)
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