Spatial disaggregation of agricultural data in Castelo de Vide, Alentejo, Portugal: an approach based on maximum entropy

Abstract

This paper develops a model to estimate agricultural land use at a disaggregated level using aggregated data, aiming to solve the lack of data problem between the Agricultural Census studies in Portugal. The model proposed estimates incomplete information at disaggregated level through an entropy approach using an information prior at the aggregated level. The results showed that the model allows to obtain a good level of information heterogeneity of the recovered data