Generate disaggregated soil allocation data using a minimum cross entropy model

• Author(s): Fragoso, R. ; Martins, M.B ; Lucas, M.R.
• Date: 2008
• Persistent ID: http://hdl.handle.net/10174/6080
• Origin: Repositório Científico da Universidade de Évora
• Subject(s): Montado ecosystem; Cross Entropy; Maximum Entropy; incomplete information
• Document Type: Article
• Language: Portuguese

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.