wFUN.RdwFUN_adw: angular distance weighting
wFUN_idw: inverse distance weighting
wFUN_mean: arithmetic average weighting
wFUN_thiessen,wFUN_natural: natural neighbor interpolation (also known
as thiessen interpolation)
wFUN_adw(dist, m = 4, cdd = 450, point, sites, ...)
wFUN_idw(dist, m = 2, ...)
wFUN_mean(dist, ...)
wFUN_thiessen(dist, ...)
wFUN_natural(dist, ...)numeric vector, the distance between point and each sites, with the
same length as sites.
distance weight (default 4)
the correlation decay distance (km) for adw and searching radius
for others, default (450).
numeric vector c(lon, lat), the point needed to be interpolated
matrix, cbind(lon, lat), coordinates of sites used to interpolate point
ignored