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bnspatial
View on CRAN: Click
here
Download and install bnspatial package within the R console
Install from CRAN:
install.packages("bnspatial")
Install from Github:
library("remotes")
install_github("cran/bnspatial") Install by package version:
library("remotes")
install_version("bnspatial", "1.1.1") Attach the package and use:
library("bnspatial")
Maintained by
Dario Masante
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-02
Latest Update:
Description:
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.
How to cite:
Dario Masante (2016). bnspatial: Spatial Implementation of Bayesian Networks and Mapping. R package version 1.1.1, https://cran.r-project.org/web/packages/bnspatial. Accessed 07 Aug. 2026.
Previous versions and publish date:
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Other R packages that bnspatial depends,
imports, suggests or enhances
Functions, R codes and Examples using
the bnspatial R package
Some associated functions: ConwyData . aoi . bnspatial . dataDiscretize . extractByMask . linkNode . loadNetwork . mapTarget . queryNet . setClasses .
Some associated R codes: Conwy-data.R . aoi.R . bnspatial.R . dataDiscretize.R . extractByMask.R . linkNode.R . loadNetwork.R . mapTarget.R . queryNet.R . setClasses.R . zzz.R . Full bnspatial package functions and examples
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