Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Gregory Yetman"'
Autor:
Fynnwin Prager, Marina T. Mendoza, Charles K. Huyck, Adam Rose, Paul Amyx, Gregory Yetman, Kristy F. Tiampo
Publikováno v:
International Journal of Disaster Risk Science, Vol 15, Iss 1, Pp 18-31 (2024)
Abstract Earth observation (EO) technologies, such as very high-resolution optical satellite data available from Maxar, can enhance economic consequence modeling of disasters by capturing the fine-grained and real-time behavioral responses of busines
Externí odkaz:
https://doaj.org/article/6db183a1db4841b8a2f473ebf7bdc6ca
Autor:
Vasilis Fthenakis, Gregory Yetman, Zhuoran Zhang, John Squires, Adam A. Atia, Diego-César Alarcón-Padilla, Patricia Palenzuela, Vikas Vicraman, Guillermo Zaragoza
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-20 (2022)
Abstract There is interest for desalination technologies powered by solar energy as arid areas are typically bestowed with good solar potential. In response to a US DOE call for solar desalination analysis tools, we developed an open-source solar ene
Externí odkaz:
https://doaj.org/article/6d95ebaaddd04a76a0b5930f6e441ca6
Autor:
Dana R. Thomson, Andrea E. Gaughan, Forrest R. Stevens, Gregory Yetman, Peter Elias, Robert Chen
Publikováno v:
Urban Science, Vol 5, Iss 2, p 48 (2021)
Low- and middle-income country cities face unprecedented urbanization and growth in slums. Gridded population data (e.g., ~100 × 100 m) derived from demographic and spatial data are a promising source of population estimates, but face limitations in
Externí odkaz:
https://doaj.org/article/71b3e6acdfa34409890bbc9fc4c860f6
Autor:
Andrea E. Gaughan, Forrest R. Stevens, Dana R. Thomson, Alessandro Sorichetta, Robert S. Chen, Gregory Yetman
People living in slums and other deprived areas in low- and middle-income country (LMIC) cities are under-represented in censuses, and subsequently in "top-down" gridded population estimates. Modelled gridded population data are a unique source of di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51b5ac1f4bf5d1d0cd15e8ae393ce442
Publikováno v:
Global and Planetary Change. 165:62-89
The current and ongoing expansion of urban areas worldwide represents the largest mass migration in human history. It is well known that the world's coastal zones are associated with large and growing concentrations of population, urban development a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a57623cc9baa3201853ac8c66d27c71f
https://doi.org/10.1016/j.gloplacha.2018.03.005
https://doi.org/10.1016/j.gloplacha.2018.03.005
Autor:
Fennis J. Reed, Forrest R. Stevens, Gregory Yetman, Andrea E. Gaughan, Parmanand Sinha, Andrew J. Tatem, Alessandro Sorichetta
Publikováno v:
IGARSS
Many disciplines require consistent, comparable areal information about where people are. Gridded population estimates fill this need typically by disaggregating census data or predicting population counts from ancillary information within identical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::488e9ce849ee6a88ff3395d422218b42
https://doi.org/10.1109/igarss.2019.8899339
https://doi.org/10.1109/igarss.2019.8899339
Autor:
Andrea E. Gaughan, Fennis J. Reed, Andrew J. Tatem, Alessandro Sorichetta, Gregory Yetman, Forrest R. Stevens
Publikováno v:
Data, Vol 3, Iss 3, p 33 (2018)
Data
Data
The spatial distribution of humans on the earth is critical knowledge that informs many disciplines and is available in a spatially explicit manner through gridded population techniques. While many approaches exist to produce specialized gridded popu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::233a6e5122335d191f97eeca42587d42
https://eprints.soton.ac.uk/430889/
https://eprints.soton.ac.uk/430889/
Autor:
Nan Li, Espen Beer Prydz, Talip Kilic, Xianming Liu, Brian Blankespoor, Andreas Gros, Tobias Tiecke, Gregory Yetman, Hai-Anh H. Dang, Siobhan Murray, Amy Zhang
High resolution datasets of population density which accurately map sparsely-distributed human populations do not exist at a global scale. Typically, population data is obtained using censuses and statistical modeling. More recently, methods using re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::515a6a9937a6147f47604ab8dda55bcb
https://doi.org/10.1596/33700
https://doi.org/10.1596/33700
Presented at the ESIP Summer Meeting July 28, 2017
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::836f240093203c4a988ab8f81b02f3d6
Autor:
Cody Aichele, Marc A. Levy, Benjamin K. Goodrich, Tanja Srebotnjak, Linda Pistolesi, Susana B. Adamo, Gregory Yetman, Kytt MacManus, Liana Razafindrazay, Valentina Mara, Alex de Sherbinin
The potential for altered ecosystems and extreme weather events in the context of climate change has raised questions concerning the role that migration plays in either increasing or reducing risks to society. Using modeled data on net migration over
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1ecac61b06396398930cb2ffd97739e