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Generate disaggregated soil allocation data using a Minimum Cross Entropy Model

dc.contributor.authorFragoso, R.
dc.contributor.authorFreitas, Maria de Belém
dc.contributor.authorLucas, M. R. V.
dc.date.accessioned2015-11-27T15:14:35Z
dc.date.available2015-11-27T15:14:35Z
dc.date.issued2008
dc.description.abstractMontado 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.
dc.identifier.issn1790-5079
dc.identifier.otherAUT: MBM01870;
dc.identifier.urihttp://hdl.handle.net/10400.1/7176
dc.language.isoeng
dc.peerreviewedyes
dc.relation.isbasedonP-007-NN8
dc.titleGenerate disaggregated soil allocation data using a Minimum Cross Entropy Model
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage766
oaire.citation.startPage756
oaire.citation.titleWSEAS Transactions on Environment and Development
oaire.citation.volume4
rcaap.rightsopenAccess
rcaap.typearticle

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