produces multi-resolution network by G\"ottlemann's method, modified G\"ottlemann's method or standard method.

1 2 3 4 5 6 | ```
reg.grid(x, latlon) # for modified G\"{o}ttlemann's regular grid
red.grid(x, latlon) # for modified G\"{o}ttlemann's reduced grid
gotreg.grid(x, latlon) # for G\"{o}ttlemann's regular grid
gotred.grid(x, latlon) # for G\"{o}ttlemann's reduced grid
hsreg.grid(x, latlon) # for standard regular grid
hsred.grid(x, latlon) # for standard reduced grid
``` |

`x` |
radius of territory in degree |

`latlon` |
grid points of observation sites in degree |

This function partitions the grid points of observations into networks. Each network corresponds resolution level and level 1 is the most detailed level.

`netlab` |
vector of network labels indicating level of multi-resolution. |

Oh, H-S. (1999) Spherical wavelets and their statistical analysis with applications to meteorological data. Ph.D. Thesis, Department of Statistics, Texas A\&M University, College Station.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
### Observations of year 1967
#data(temperature)
#names(temperature)
# Locations of 939 weather stations
#latlon <- temperature$latlon[temperature$year == 1967, ]
#netlab <- reg.grid(x=3, latlon)
#netlab <- red.grid(x=3, latlon)
#netlab <- gotreg.grid(x=2, latlon)
#netlab <- gotred.grid(x=2, latlon)
#netlab <- hsreg.grid(x=5, latlon)
#netlab <- hsred.grid(x=5, latlon)
``` |

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