Plot of Observation, Network Design, Field, SW Coefficient,...

This function performs spherical wavelet reconstruction.

1 |

`swd` |
an object of class ‘swd’ |

This function performs spherical wavelet reconstruction.

`recon` |
the spherical wavelet reconstruction |

Oh, H-S. and Li, T-H. (2004) Estimation of global temperature fields from scattered observations by
a spherical-wavelet-based spatially adaptive method. *Journal of the Royal Statistical Society
Ser.* B, **66**, 221–238.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | ```
### Observations of year 1967
#data(temperature)
#names(temperature)
# Temperatures on 939 weather stations of year 1967
#temp67 <- temperature$obs[temperature$year == 1967]
# Locations of 939 weather stations
#latlon <- temperature$latlon[temperature$year == 1967, ]
### Network design by BUD
#data(netlab)
### Bandwidth for Poisson kernel
#eta <- c(0.961, 0.923, 0.852, 0.723, 0.506)
### SBF representation of the observations by pls
#out.pls <- sbf(obs=temp67, latlon=latlon, netlab=netlab, eta=eta,
# method="pls", grid.size=c(50, 100), lambda=0.89)
### Decomposition
#out.dpls <- swd(out.pls)
### Thresholding
#out.univ <- swthresh(out.dpls, policy="universal", by.level=TRUE,
# type="hard", nthresh=4)
### Reconstruction
#out.rec <- swr(out.univ)
#sw.plot(z=out.rec, type="recon", xlab="", ylab="")
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.