# network: Generation of Network Levels In SpherWave: Spherical Wavelets and SW-based Spatially Adaptive Methods

## Description

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

## Usage

 ```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 ```

## Arguments

 `x` radius of territory in degree `latlon` grid points of observation sites in degree

## Details

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

## Value

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

## 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

 ``` 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) ```

SpherWave documentation built on April 14, 2017, 1:28 p.m.