SpherWave (version 1.2.2)

network: Generation of Network Levels

Description

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

Usage

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

Arguments

x

radius of territory in degree

latlon

grid points of observation sites in degree

Value

netlab

vector of network labels indicating level of multi-resolution.

Details

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

References

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.

Examples

### 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)