Show simple item record

dc.contributor.author
Veronesi, Fabio
dc.contributor.author
Korfiati, Athina
dc.contributor.author
Buffat, René
dc.contributor.author
Raubal, Martin
dc.contributor.editor
Bregt, Arnold
dc.contributor.editor
Sarjakoski, Tapani
dc.contributor.editor
van Lammeren, Ron
dc.contributor.editor
Rip, Frans
dc.date.accessioned
2017-07-13T12:54:57Z
dc.date.available
2017-06-12T19:19:42Z
dc.date.available
2017-07-13T12:54:57Z
dc.date.issued
2017
dc.identifier.isbn
978-3-319-56758-7
en_US
dc.identifier.isbn
978-3-319-56759-4
en_US
dc.identifier.other
10.1007/978-3-319-56759-4_17
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/127514
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.subject
Machine learning
en_US
dc.subject
Geographical cross-validation
en_US
dc.subject
Geographic information systems
en_US
dc.subject
Wind resource assessment
en_US
dc.title
Assessing accuracy and geographical trans-ferability of machine learning algorithms for wind speed modelling
en_US
dc.type
Conference Paper
dc.date.published
2017-04-05
ethz.book.title
Societal geo-innovation: Selected Papers of the 20th AGILE Conference on Geographic Information Science
en_US
ethz.journal.title
Lecture Notes in Geoinformation and Cartography
ethz.pages.start
297
en_US
ethz.pages.end
310
en_US
ethz.event
20th AGILE Conference on Geographic Information Science (AGILE 2017)
en_US
ethz.event.location
Wageningen, The Netherlands
en_US
ethz.event.date
May 9-12, 2017
en_US
ethz.identifier.scopus
ethz.publication.place
Cham
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation::03901 - Raubal, Martin / Raubal, Martin
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation::03901 - Raubal, Martin / Raubal, Martin
ethz.date.deposited
2017-06-12T19:20:07Z
ethz.source
ECIT
ethz.identifier.importid
imp5936553100cce50483
ethz.ecitpid
pub:190368
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-13T12:55:03Z
ethz.rosetta.lastUpdated
2017-07-13T12:55:03Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Assessing%20accuracy%20and%20geographical%20trans-ferability%20of%20machine%20learning%20algorithms%20for%20wind%20speed%20modelling&rft.jtitle=Lecture%20Notes%20in%20Geoinformation%20and%20Cartography&rft.date=2017&rft.spage=297&rft.epage=310&rft.au=Veronesi,%20Fabio&Korfiati,%20Athina&Buffat,%20Ren%C3%A9&Raubal,%20Martin&rft.isbn=978-3-319-56758-7&978-3-319-56759-4&rft.genre=proceeding&rft_id=info:doi/978-3-319-56758-7&info:doi/978-3-319-56759-4&rft.btitle=Societal%20geo-innovation:%20Selected%20Papers%20of%20the%2020th%20AGILE%20Conference%20on%20Geographic%20Information%20Science
 Search via SFX

Files in this item

FilesSizeFormatOpen in viewer

There are no files associated with this item.

Publication type

Show simple item record