This function takes a formLatticeOutput object, which encodes a region
possibly with and irregular boundary and holes. This and a matrix of
locations where a response variable has been measured, and a vector of
the responses, is used to create an initial distribution for use in the
non-parametric regression function createNparReg. If, instead, you
have a point process and wish to produce a density estimate, you should use
the function addObservations.
addQuantVar(formLatticeOutput, Z, locations)addQuantVarOutput object consisting of
init_quantvar Vector of initial quantitative variables
init_prob Vector of initial probability density
which_nodes What nodes are closest to each data location
An object from the functions formLattice or editLattice.
A vector of response variable values.
A two-column matrix or data frame of data locations.
Ronald P. Barry, Julie McIntyre. Estimating animal densities and home range in regions with irregular boundaries and holes: A lattice-based alternative to the kernel density estimator. Ecological Modelling 222 (2011) 1666-1672. <doi:10.1080/10618600.2017.1375935>
Julie McIntyre, Ronald P. Barry (2018) A Lattice-Based Smoother for Regions with Irregular Boundaries and Holes. Journal of Computational and Graphical Statistics. In Press.