Analysis of the socioecological structure and dynamics of the territory using a hybrid Bayesian network classifier
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2015Abstract
Territorial planning and management requires that the spatial structure of the socioecological sectors is adequately understood. Several classification techniques exist that have been applied to detect ecological, or socioeconomic
sectors, but not simultaneously in the same model; and also, with a limited number of variables. We have developed and applied a new probabilistic methodology – based on hierarchical hybrid Bayesian network classifiers - to
identify the different socioecological sectors in Andalusia, a region in southern Spain, and incorporate a scenario of change. Results show that a priori, the socioecological structure is highly heterogeneous, with an altitude gradient
from the river basin to the mountain peaks. However, under a scenario of Global Environmental Change this heterogeneity is lost, making the territory more vulnerable to any alteration or disturbance. The methodology applied
allows dealing with complex problems, containing a large number of variables, by ...
Palabra/s clave
Hierarchical classifier
Mixture of Truncated Exponential models
Probabilistic clustering
Socio ecological systems
Global environmental change