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Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/27059 Cómo citar
Título: Overcoming data scarcity in earth science.
Autor: Gorgoglione, Angela
Castro, Alberto
Chreties, Christian
Etcheverry, Lorena
Tipo: Artículo
Palabras clave: Earth-science data, Data scarcity, Missing data, Data quality, Data imputation, Statistical methods, Machine learning, Environmental modeling, Environmental observations
Fecha de publicación: 2020
Resumen: The Data Scarcity problem is repeatedly encountered in environmental research. This may induce an inadequate representation of the response?s complexity in any environmental system to any input/change (natural and human-induced). In such a case, before getting engaged with new expensive studies to gather and analyze additional data, it is reasonable first to understand what enhancement in estimates of system performance would result if all the available data could be well exploited. The purpose of this Special Issue, "Overcoming Data Scarcity in Earth Science" in the Data journal, is to draw attention to the body of knowledge that leads at improving the capacity of exploiting the available data to better represent, understand, predict, and manage the behavior of environmental systems at meaningful space-time scales. This Special Issue contains six publications (three research articles, one review, and two data descriptors) covering a wide range of environmental fields: geophysics, meteorology/climatology, ecology, water quality, and hydrology.
Editorial: MDPI
EN: Data, vol. 5, no 1, pp. 1-5, jan 2020.
DOI: 10.3390/data5010005
Citación: Gorgoglione, A., Castro, A., Chreties, C. y otros. "Overcoming data scarcity in earth science". Data. [en línea]. 2020, vol. 5, no 1, pp. 1-5. DOI: 10.3390/data5010005
Licencia: Licencia Creative Commons Atribución (CC - By 4.0)
Aparece en las colecciones: Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica

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