Characterizing the spatial variability of groundwater quality using the entropy theory: I. Synthetic data
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/8151 https://doi.org/10.1002/hyp.1465 |
Resumo: | This paper, the first in a series of two, applies the entropy (or information) theory to describe the spatial variability of synthetic data that can represent spatially correlated groundwater quality data. The application involves calculating information measures such as transinformation, the information transfer index and the correlation coefficient. These measures are calculated using discrete and analytical approaches. The discrete approach uses the contingency table and the analytical approach uses the normal probability density function. The discrete and analytical approaches are found to be in reasonable agreement. The analysis shows that transinformation is useful and comparable with correlation to characterize the spatial variability of the synthetic data set, which is correlated with distance. Copyright © 2004 John Wiley & Sons, Ltd. |
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Characterizing the spatial variability of groundwater quality using the entropy theory: I. Synthetic dataThis paper, the first in a series of two, applies the entropy (or information) theory to describe the spatial variability of synthetic data that can represent spatially correlated groundwater quality data. The application involves calculating information measures such as transinformation, the information transfer index and the correlation coefficient. These measures are calculated using discrete and analytical approaches. The discrete approach uses the contingency table and the analytical approach uses the normal probability density function. The discrete and analytical approaches are found to be in reasonable agreement. The analysis shows that transinformation is useful and comparable with correlation to characterize the spatial variability of the synthetic data set, which is correlated with distance. Copyright © 2004 John Wiley & Sons, Ltd.2004info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/8151http://hdl.handle.net/10316/8151https://doi.org/10.1002/hyp.1465engHydrological Processes. 18:11 (2004) 2165-2179Mogheir, Y.Lima, J. L. M. P. deSingh, V. P.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-01-16T15:22:15Zoai:estudogeral.uc.pt:10316/8151Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:12.808939Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Characterizing the spatial variability of groundwater quality using the entropy theory: I. Synthetic data |
title |
Characterizing the spatial variability of groundwater quality using the entropy theory: I. Synthetic data |
spellingShingle |
Characterizing the spatial variability of groundwater quality using the entropy theory: I. Synthetic data Mogheir, Y. |
title_short |
Characterizing the spatial variability of groundwater quality using the entropy theory: I. Synthetic data |
title_full |
Characterizing the spatial variability of groundwater quality using the entropy theory: I. Synthetic data |
title_fullStr |
Characterizing the spatial variability of groundwater quality using the entropy theory: I. Synthetic data |
title_full_unstemmed |
Characterizing the spatial variability of groundwater quality using the entropy theory: I. Synthetic data |
title_sort |
Characterizing the spatial variability of groundwater quality using the entropy theory: I. Synthetic data |
author |
Mogheir, Y. |
author_facet |
Mogheir, Y. Lima, J. L. M. P. de Singh, V. P. |
author_role |
author |
author2 |
Lima, J. L. M. P. de Singh, V. P. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Mogheir, Y. Lima, J. L. M. P. de Singh, V. P. |
description |
This paper, the first in a series of two, applies the entropy (or information) theory to describe the spatial variability of synthetic data that can represent spatially correlated groundwater quality data. The application involves calculating information measures such as transinformation, the information transfer index and the correlation coefficient. These measures are calculated using discrete and analytical approaches. The discrete approach uses the contingency table and the analytical approach uses the normal probability density function. The discrete and analytical approaches are found to be in reasonable agreement. The analysis shows that transinformation is useful and comparable with correlation to characterize the spatial variability of the synthetic data set, which is correlated with distance. Copyright © 2004 John Wiley & Sons, Ltd. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/8151 http://hdl.handle.net/10316/8151 https://doi.org/10.1002/hyp.1465 |
url |
http://hdl.handle.net/10316/8151 https://doi.org/10.1002/hyp.1465 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Hydrological Processes. 18:11 (2004) 2165-2179 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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