Generate disaggregated soil allocation data using a minimum cross entropy model
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/6080 |
Resumo: | Montado ecosystem in the Alentejo Region, south of Portugal, has enormous agro-ecological and economics heterogeneities. A definition of homogeneous sub-units among this heterogeneous ecosystem was made, but for them is disposal only partial statistical information about soil allocation agro-forestry activities. The paper proposal is to recover the unknown soil allocation at each homogeneous sub-unit, disaggregating a complete data set for the Montado ecosystem area using incomplete information at sub-units level. The methodological framework is based on a Generalized Maximum Entropy approach, which is developed in thee steps concerning the specification of a r order Markov process, the estimates of aggregate transition probabilities and the disaggregation data to recover the unknown soil allocation at each homogeneous sub-units. The results quality is evaluated using the predicted absolute deviation (PAD) and the “Disagegation Information Gain” (DIG) and shows very acceptable estimation errors. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
spelling |
Generate disaggregated soil allocation data using a minimum cross entropy modelMontado ecosystemCross EntropyMaximum Entropyincomplete informationMontado ecosystem in the Alentejo Region, south of Portugal, has enormous agro-ecological and economics heterogeneities. A definition of homogeneous sub-units among this heterogeneous ecosystem was made, but for them is disposal only partial statistical information about soil allocation agro-forestry activities. The paper proposal is to recover the unknown soil allocation at each homogeneous sub-unit, disaggregating a complete data set for the Montado ecosystem area using incomplete information at sub-units level. The methodological framework is based on a Generalized Maximum Entropy approach, which is developed in thee steps concerning the specification of a r order Markov process, the estimates of aggregate transition probabilities and the disaggregation data to recover the unknown soil allocation at each homogeneous sub-units. The results quality is evaluated using the predicted absolute deviation (PAD) and the “Disagegation Information Gain” (DIG) and shows very acceptable estimation errors.WSEAS2012-11-28T12:22:24Z2012-11-282008-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/6080http://hdl.handle.net/10174/6080porFragoso, R., M.B. Martins, M.R.V. Lucas (2008), "Generate disaggregated soil allocation data using a minimum cross entropy model", WSEAS Transaction on Environment and Development, 9(4), 756-766.Departamento de Gestão; ICAAMrfragoso@uevora.ptmbmartins@ualg.ptmrlucas@uevora.pt638Fragoso, R.Martins, M.BLucas, M.R.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:RCAAP2024-01-03T18:45:18Zoai:dspace.uevora.pt:10174/6080Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:00:57.528384Repositório 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 |
Generate disaggregated soil allocation data using a minimum cross entropy model |
title |
Generate disaggregated soil allocation data using a minimum cross entropy model |
spellingShingle |
Generate disaggregated soil allocation data using a minimum cross entropy model Fragoso, R. Montado ecosystem Cross Entropy Maximum Entropy incomplete information |
title_short |
Generate disaggregated soil allocation data using a minimum cross entropy model |
title_full |
Generate disaggregated soil allocation data using a minimum cross entropy model |
title_fullStr |
Generate disaggregated soil allocation data using a minimum cross entropy model |
title_full_unstemmed |
Generate disaggregated soil allocation data using a minimum cross entropy model |
title_sort |
Generate disaggregated soil allocation data using a minimum cross entropy model |
author |
Fragoso, R. |
author_facet |
Fragoso, R. Martins, M.B Lucas, M.R. |
author_role |
author |
author2 |
Martins, M.B Lucas, M.R. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Fragoso, R. Martins, M.B Lucas, M.R. |
dc.subject.por.fl_str_mv |
Montado ecosystem Cross Entropy Maximum Entropy incomplete information |
topic |
Montado ecosystem Cross Entropy Maximum Entropy incomplete information |
description |
Montado ecosystem in the Alentejo Region, south of Portugal, has enormous agro-ecological and economics heterogeneities. A definition of homogeneous sub-units among this heterogeneous ecosystem was made, but for them is disposal only partial statistical information about soil allocation agro-forestry activities. The paper proposal is to recover the unknown soil allocation at each homogeneous sub-unit, disaggregating a complete data set for the Montado ecosystem area using incomplete information at sub-units level. The methodological framework is based on a Generalized Maximum Entropy approach, which is developed in thee steps concerning the specification of a r order Markov process, the estimates of aggregate transition probabilities and the disaggregation data to recover the unknown soil allocation at each homogeneous sub-units. The results quality is evaluated using the predicted absolute deviation (PAD) and the “Disagegation Information Gain” (DIG) and shows very acceptable estimation errors. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-01-01T00:00:00Z 2012-11-28T12:22:24Z 2012-11-28 |
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/10174/6080 http://hdl.handle.net/10174/6080 |
url |
http://hdl.handle.net/10174/6080 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Fragoso, R., M.B. Martins, M.R.V. Lucas (2008), "Generate disaggregated soil allocation data using a minimum cross entropy model", WSEAS Transaction on Environment and Development, 9(4), 756-766. Departamento de Gestão; ICAAM rfragoso@uevora.pt mbmartins@ualg.pt mrlucas@uevora.pt 638 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
WSEAS |
publisher.none.fl_str_mv |
WSEAS |
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 |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
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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1799136493303758848 |