getNeighbours: Creating Local Neighbourhoods

In BenGraeler/spcopula: Copula Driven Analysis - Multivariate, Spatial, Spatio-Temporal

Description

This function calculates a local neighbourhood to be used for fitting of spatial/spatio-temporal vine copulas and for prediction using spatial/spatio-temporal vine copulas.

Usage

getNeighbours(dataLocs, predLocs, size = 5, var = names(dataLocs)[1], 
              coVar=character(), prediction=FALSE, min.dist = 0.01)

Arguments

dataLocs	some spatial data frame holding the data used for estimation/prediction
predLocs	A spatial object defining the prediction locations, might be missing if the neighbourhood is used for fitting
size	The size of the neighbourhood including the location of interest (for fitting as well for prediction)
var	the variable name of interest, by default the first variable is used
coVar	the name of the covariate, if any
prediction	whether the neighbourhood should be used for prediction (TRUE) or spatial/Spatio-temporal vine copula fitting
min.dist	the minimal distance for a location to be included. Must be larger than 0 for fitting purposes and might be 0 for prediction

Value

An object of neighbourhood.

Author(s)

Benedikt Graeler

See Also

See neighbourhood for the native constructor of a neighbourhood class.

Examples

library("sp")
spdf <- data.frame(x=c(112,154,212,289,345),y=c(124,198,85,168,346),measure=rlnorm(5))
coordinates(spdf) <- ~x+y

getNeighbours(spdf,size=4)

BenGraeler/spcopula documentation built on Nov. 20, 2020, 4:07 p.m.