check.model.weed {WeedMap} | R Documentation |
Plot various graphics to assess goddness of fit of the transformed Gaussian model
check.model.weed(x, xy, y, wx, wxy, i, res, nit, thin, burnin, bin, nqqplot, nresamp = 100)
x |
Coordinates of sites where weed counts only are given |
xy |
Coordinates of sites where weeds and images are given |
y |
Coordinates of sites where image indexes only are given |
wx |
Weed values at sites x |
wxy |
Weed values at sites xy |
i |
Image values at sites xy and y . Values are
concatenated in the same vector in this order |
res |
Output of pred.weed |
nit |
Number of iterations |
thin |
Thinning of the Markov chain |
burnin |
Number of values to discard before computing statistics about the empirical posterior |
bin |
Binning for the empirical variograms |
nqqplot |
Number of observation in the qqplot |
nresamp |
Number of realisation resampled to get enveloppe estimates |
None
Gilles Guillot
G. Guillot, N. Loren, M. Rudemo, Bayesian spatial prediction of weed intensities from exact count data and picture based indexes, 2006, submitted