Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Spatiotemporal data science: theoretical advances and applications
 
research article

Spatiotemporal data science: theoretical advances and applications

Amato, Federico  
•
Lombardo, Luigi
•
Tonini, Marj
Show more
August 26, 2022
Stochastic Environmental Research And Risk Assessment
  • Details
  • Metrics
Type
research article
DOI
10.1007/s00477-022-02281-4
Web of Science ID

WOS:000844931000001

Author(s)
Amato, Federico  
Lombardo, Luigi
Tonini, Marj
Marvuglia, Antonino
Castro-Camilo, Daniela
Guignard, Fabian
Date Issued

2022-08-26

Published in
Stochastic Environmental Research And Risk Assessment
Subjects

Engineering, Environmental

•

Engineering, Civil

•

Environmental Sciences

•

Statistics & Probability

•

Water Resources

•

Engineering

•

Environmental Sciences & Ecology

•

Mathematics

•

Water Resources

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

Available on Infoscience
September 12, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/190749
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés