evidence


A matrix. The collection of available spatial data (see above) as extracted from each location (i.e. cell) 
  in the catchment, where the latter is represented by the raster object <code>currentLU</code>. Each value from the spatial data was 
  discretized through <code><a rd-options="" href="/link/dataDiscretize?package=bnspatial&version=0.9" data-mini-rdoc="bnspatial::dataDiscretize">dataDiscretize</a></code> or <code><a rd-options="" href="/link/bulkDiscretize?package=bnspatial&version=0.9" data-mini-rdoc="bnspatial::bulkDiscretize">bulkDiscretize</a></code> functions, then assigned to the corresponding 
  state from the Bayesian network (LandUseChange).


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.

Dario Masante

bnspatial

Spatial Implementation of Bayesian Networks and Mapping

evidence function


A matrix. The collection of available spatial data (see above) as extracted from each location (i.e. cell) 
  in the catchment, where the latter is represented by the raster object <code>currentLU</code>. Each value from the spatial data was 
  discretized through <code><a rd-options='' href='dataDiscretize'>dataDiscretize</a></code> or <code><a rd-options='' href='bulkDiscretize'>bulkDiscretize</a></code> functions, then assigned to the corresponding 
  state from the Bayesian network (LandUseChange).


evidence: Evidence from extracted spatial inputs.

Description

Arguments