bnspatial (1.0.2)

0 users

Spatial Implementation of Bayesian Networks and Mapping.

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 ().

Maintainer: Dario Masante
Author(s): Dario Masante [aut, cre]

License: GPL-3

Uses: doParallel, foreach, gRain, gRbase, raster, knitr, rmarkdown

Released 2 months ago.

3 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of bnspatial yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for bnspatial on google, google scholar, r-help, r-devel.

Visit bnspatial on R Graphical Manual.