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Generate disaggregated soil allocation data using a Minimum Cross Entropy Model
dc.contributor.author | Fragoso, R. | |
dc.contributor.author | Freitas, Maria de Belém | |
dc.contributor.author | Lucas, M. R. V. | |
dc.date.accessioned | 2015-11-27T15:14:35Z | |
dc.date.available | 2015-11-27T15:14:35Z | |
dc.date.issued | 2008 | |
dc.description.abstract | 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. | |
dc.identifier.issn | 1790-5079 | |
dc.identifier.other | AUT: MBM01870; | |
dc.identifier.uri | http://hdl.handle.net/10400.1/7176 | |
dc.language.iso | eng | |
dc.peerreviewed | yes | |
dc.relation.isbasedon | P-007-NN8 | |
dc.title | Generate disaggregated soil allocation data using a Minimum Cross Entropy Model | |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.endPage | 766 | |
oaire.citation.startPage | 756 | |
oaire.citation.title | WSEAS Transactions on Environment and Development | |
oaire.citation.volume | 4 | |
rcaap.rights | openAccess | |
rcaap.type | article |
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