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Audiovisual . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Audiovisual . 2021
License: CC BY
Data sources: Datacite
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Forecasting flood-related emergency phone calls

appsOther research productkeyboard_double_arrow_right Audiovisual 19 Jul 2021 English Publisher:Zenodo
Authors: Aguilera, Hector; Guardiola-Albert, Carolina; Garrote Revilla, Julio; Gutierrez-Pérez, Ignacio; Vázquez Tarrío, Daniel; Díez-Herrero, Andrés;

doi: 10.5281/zenodo.5144910 , 10.5281/zenodo.5144911

Forecasting flood-related emergency phone calls

Abstract

AGUILERA, H.; GUARDIOLA-ALBERT, C.; GARROTE, J.; GUTIÉRREZ-PÉREZ, I.; VÁZQUEZ TARRÍO, D. & DÍEZ-HERRERO, A. (2021). Forecasting flood-related emergency phone calls (Ref: 237). International Conference on Time Series and Forecasting (ITISE 2021), Session B.4: Time Series for Natural Hazard Monitoring. 19th-21th July, 2021 Gran Canaria (Spain), Presentación oral en videograbación. Duración 13:11 minutos. DOI 10.5281/zenodo.5144911.eng

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Keywords

Castilla-La Mancha, Spain, Phone calls, Flood, Forecasting

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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