Overcoming data scarcity in earth science.
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 g...
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| その他の著者: | , , |
| フォーマット: | article |
| 言語: | 英語 |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://hdl.handle.net/20.500.12008/27059 |
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| _version_ | 1868890225744281600 |
|---|---|
| author | Gorgoglione, Angela |
| author2 | Castro, Alberto Chreties, Christian Etcheverry, Lorena |
| author2_role | author author author |
| author_browse | Castro, Alberto Chreties, Christian Etcheverry, Lorena Gorgoglione, Angela |
| author_facet | Gorgoglione, Angela Castro, Alberto Chreties, Christian Etcheverry, Lorena |
| author_role | author |
| collection | COLIBRI |
| dc.contributor.none.fl_str_mv | Gorgoglione Angela, Universidad de la República (Uruguay). Facultad de Ingeniería. Castro Alberto, Universidad de la República (Uruguay). Facultad de Ingeniería. Chreties Christian, Universidad de la República (Uruguay). Facultad de Ingeniería. Etcheverry Lorena, Universidad de la República (Uruguay). Facultad de Ingeniería. |
| dc.creator.none.fl_str_mv | Gorgoglione, Angela Castro, Alberto Chreties, Christian Etcheverry, Lorena |
| dc.date.none.fl_str_mv | 2020 2021-04-13T15:31:45Z 2021-04-13T15:31:45Z |
| dc.format.none.fl_str_mv | 5 p. application/pdf |
| dc.identifier.none.fl_str_mv | 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 https://hdl.handle.net/20.500.12008/27059 10.3390/data5010005 |
| dc.language.none.fl_str_mv | en eng |
| dc.publisher.none.fl_str_mv | MDPI |
| dc.relation.none.fl_str_mv | Data, vol. 5, no 1, pp. 1-5, jan 2020. |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess Licencia Creative Commons Atribución (CC - By 4.0) |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.none.fl_str_mv | Earth-science data Data scarcity Missing data Data quality Data imputation Statistical methods Machine learning Environmental modeling Environmental observations |
| dc.title.none.fl_str_mv | Overcoming data scarcity in earth science. |
| dc.type.none.fl_str_mv | Artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | 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. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | anni_ed1cc8a3024c045e3f3deebfda78811f |
| identifier_str_mv | 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 10.3390/data5010005 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | anni |
| network_name_str | oai-lr-anni |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/27059 |
| publishDate | 2020 |
| publishDateSort | 2020 |
| publisher.none.fl_str_mv | MDPI |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By 4.0) |
| spelling | Overcoming data scarcity in earth science.Gorgoglione, AngelaCastro, AlbertoChreties, ChristianEtcheverry, LorenaEarth-science dataData scarcityMissing dataData qualityData imputationStatistical methodsMachine learningEnvironmental modelingEnvironmental observationsThe 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.MDPIGorgoglione Angela, Universidad de la República (Uruguay). Facultad de Ingeniería.Castro Alberto, Universidad de la República (Uruguay). Facultad de Ingeniería.Chreties Christian, Universidad de la República (Uruguay). Facultad de Ingeniería.Etcheverry Lorena, Universidad de la República (Uruguay). Facultad de Ingeniería.2021-04-13T15:31:45Z2021-04-13T15:31:45Z2020Artículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion5 p.application/pdfGorgoglione, 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/data5010005https://hdl.handle.net/20.500.12008/2705910.3390/data5010005reponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaenengData, vol. 5, no 1, pp. 1-5, jan 2020.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)oai:colibri.udelar.edu.uy:20.500.12008/270592026-04-14T10:15:14Z |
| spellingShingle | Overcoming data scarcity in earth science. Gorgoglione, Angela Earth-science data Data scarcity Missing data Data quality Data imputation Statistical methods Machine learning Environmental modeling Environmental observations |
| status_str | publishedVersion |
| title | Overcoming data scarcity in earth science. |
| title_full | Overcoming data scarcity in earth science. |
| title_fullStr | Overcoming data scarcity in earth science. |
| title_full_unstemmed | Overcoming data scarcity in earth science. |
| title_short | Overcoming data scarcity in earth science. |
| title_sort | Overcoming data scarcity in earth science. |
| topic | Earth-science data Data scarcity Missing data Data quality Data imputation Statistical methods Machine learning Environmental modeling Environmental observations |
| url | https://hdl.handle.net/20.500.12008/27059 |