gwr.lcr.cv.contrib | R Documentation |
This function finds the individual cross-validation score at each observation location, for a GWR-LCR model, for a specified bandwidth. These data can be mapped to detect unusually high or low cross-validations scores.
gwr.lcr.cv.contrib(bw,X,Y,locs,kernel="bisquare",
lambda=0,lambda.adjust=FALSE,cn.thresh=NA,
adaptive=FALSE, p=2, theta=0, longlat=F,dMat)
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 |
locs |
a two-column numeric array of observation coordinates |
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 |
lambda |
option for a globally-defined (constant) ridge parameter. Default is lambda=0, which gives a basic GWR fit |
lambda.adjust |
a locally-varying ridge parameter. Default FALSE, refers to: (i) a basic GWR without a local ridge adjustment (i.e. lambda=0, everywhere); or (ii) a penalised GWR with a global ridge adjustment (i.e. lambda is user-specified as some constant, other than 0 everywhere); if TRUE, use cn.tresh to set the maximum condition number. Here for locations with a condition number (for its local design matrix) above this user-specified threshold, a local ridge parameter is found |
cn.thresh |
maximum value for condition number, commonly set between 20 and 30 |
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) |
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 |
CV |
a data vector consisting of squared residuals, whose sum is the cross-validation score for the specified bandwidth. |
Binbin Lu binbinlu@whu.edu.cn
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.