bnspatial: Spatial Implementation of Bayesian Networks and Mapping
Version 1.0.2

Allows 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 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: parallel processing options, data discretization routines and function wrappers designed for users with minimal knowledge of the R language. Outputs can be exported to any common GIS format. Development was funded by the European Union FP7 (2007-2013), under project ROBIN ().

Package details

AuthorDario Masante [aut, cre]
Date of publication2017-07-21 11:35:37 UTC
MaintainerDario Masante <[email protected]>
Package repositoryView on CRAN
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bnspatial documentation built on July 21, 2017, 7:17 p.m.