plot.smooth.sspline(x, lon, lat, main="", xlab="Longitude",
ylab="Latitude", key.title="Temp(deg)", ...)
- x
{ a smooth.sspline object }
- lon
{ the longitudes on which the function values will be calculated }
- lat
{ the latitudes on which the function values will be calculated }
- main
{ the main title of the plot }
- xlab
{ the x-axis label of the main plot }
- ylab
{ the y-axis label of the main plot }
- key.title
{ the title for the colored key }
- ...
{ other plotting parameters, such as lwd, asp, and ...}
It calls predict.smooth.sspline and filled.contour.
NULL
[object Object]
The longitudes and latitudes are measured in degrees.
predict.smooth.ssplinedata(WTdiff)
subdat <- WTdiff[sample(nrow(WTdiff), 200), 2:4]
attach(subdat)
splobj <- smooth.sspline(lon, lat, avgd)
plot(splobj, lon=seq(-180, 180, len=50), lat=seq(-90, 90, len=25),
main="World Average Temperature Change")
detach(subdat)
smooth
methods
hplot