Spatial Implementation of Bayesian Networks and Mapping
Description
Package for the spatial implementation of Bayesian Networks and mapping in geographical space.
It makes maps of expected value (or most likely state) given known and unknown conditions, maps of uncertainty
measured as both coefficient of variation or Shannon index (entropy), maps of probability associated to any states
of any node of the network. Some additional features are provided as well, such as parallel processing options,
data discretization routines and function wrappers designed for users with minimal knowledge of the R programming language.