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dc.contributor.author
Amato, Federico
dc.contributor.author
Lombardo, Luigi
dc.contributor.author
Tonini, Marj
dc.contributor.author
Marvuglia, Antonino
dc.contributor.author
Castro-Camilo, Daniela
dc.contributor.author
Guignard, Fabian
dc.date.accessioned
2022-10-10T09:04:15Z
dc.date.available
2022-09-27T03:15:41Z
dc.date.available
2022-10-10T09:04:15Z
dc.date.issued
2022
dc.identifier.issn
1436-3240
dc.identifier.issn
1436-3259
dc.identifier.other
10.1007/s00477-022-02281-4
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/572796
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.title
Spatiotemporal data science: theoretical advances and applications
en_US
dc.type
Other Journal Item
dc.date.published
2022-08-26
ethz.journal.title
Stochastic Environmental Research and Risk Assessment
ethz.journal.volume
36
en_US
ethz.journal.issue
8
en_US
ethz.journal.abbreviated
Stoch. environ. res. risk assess.
ethz.pages.start
2027
en_US
ethz.pages.end
2029
en_US
ethz.identifier.scopus
ethz.publication.place
Berlin
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2022-09-27T03:15:43Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2022-10-10T09:04:16Z
ethz.rosetta.lastUpdated
2022-10-10T09:04:16Z
ethz.rosetta.versionExported
true
ethz.COinS
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