R: Cross-validation score for a specified bandwidth for basic...
gwr.cv
R Documentation
Cross-validation score for a specified bandwidth for basic GWR
Description
This function finds the cross-validation score for a specified bandwidth for basic GWR
Usage
gwr.cv(bw, X, Y, kernel="bisquare",adaptive=FALSE, dp.locat, p=2, theta=0,
longlat=F,dMat, verbose=T)
Arguments
bw
bandwidth used in the weighting function;fixed (distance) or adaptive bandwidth(number of nearest neighbours)
X
a numeric matrix of the independent data with an extra column of “ones” for the 1st column
Y
a column vector of the dependent data
kernel
function chosen as follows:
gaussian: wgt = exp(-.5*(vdist/bw)^2);
exponential: wgt = exp(-vdist/bw);
bisquare: wgt = (1-(vdist/bw)^2)^2 if vdist < bw, wgt=0 otherwise;
tricube: wgt = (1-(vdist/bw)^3)^3 if vdist < bw, wgt=0 otherwise;
boxcar: wgt=1 if dist < bw, wgt=0 otherwise
adaptive
if TRUE calculate an adaptive kernel where the bandwidth (bw) corresponds to the number of nearest neighbours (i.e. adaptive distance); default is FALSE, where a fixed kernel is found (bandwidth is a fixed distance)
dp.locat
a two-column numeric array of observation coordinates
p
the power of the Minkowski distance, default is 2, i.e. the Euclidean distance
theta
an angle in radians to rotate the coordinate system, default is 0
longlat
if TRUE, great circle distances will be calculated
dMat
a pre-specified distance matrix, it can be calculated by the function gw.dist
verbose
if TRUE (default), reports the progress of search for bandwidth
providing 
.