network              package:SpherWave              R Documentation

_G_e_n_e_r_a_t_i_o_n _o_f _N_e_t_w_o_r_k _L_e_v_e_l_s

_D_e_s_c_r_i_p_t_i_o_n:

     produces multi-resolution network by G\"{o}ttlemann's method,
     modified G\"{o}ttlemann's method or standard method.

_U_s_a_g_e:

     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

_A_r_g_u_m_e_n_t_s:

       x: radius of territory in degree

  latlon: grid points of observation sites in degree

_D_e_t_a_i_l_s:

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

_V_a_l_u_e:

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

_R_e_f_e_r_e_n_c_e_s:

     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.

_E_x_a_m_p_l_e_s:

     ### 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)

