bnspatial: Spatial Implementation of Bayesian Networks and Mapping

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 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 (agreement 283093).

Version: 1.0.1
Imports: raster, gRbase, gRain, doParallel, foreach
Suggests: knitr, rmarkdown
Published: 2016-12-14
Author: Dario Masante [aut, cre]
Maintainer: Dario Masante <dario.masante at gmail.com>
BugReports: https://github.com/dariomasante/bnspatial/issues
License: GPL-3
Copyright: Natural Environment Research Council (NERC) and Centre for Ecology and Hydrology (CEH)
bnspatial copyright details
URL: http://github.com/dariomasante/bnspatial
NeedsCompilation: no
Materials: NEWS
CRAN checks: bnspatial results

Downloads:

Reference manual: bnspatial.pdf
Vignettes: Overview of package 'bnspatial'
Package source: bnspatial_1.0.1.tar.gz
Windows binaries: r-devel: bnspatial_1.0.1.zip, r-release: bnspatial_1.0.1.zip, r-oldrel: bnspatial_1.0.1.zip
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: bnspatial_1.0.1.tgz
Old sources: bnspatial archive

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