predict.trls             package:spatial             R Documentation

_P_r_e_d_i_c_t _m_e_t_h_o_d _f_o_r _t_r_e_n_d _s_u_r_f_a_c_e _f_i_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     Predicted values based on trend surface model object

_U_s_a_g_e:

     ## S3 method for class 'trls':
     predict(object, x, y, ...)

_A_r_g_u_m_e_n_t_s:

  object: Fitted trend surface model object returned by 'surf.ls' 

       x: Vector of prediction location eastings (x coordinates) 

       y: Vector of prediction location northings (y coordinates) 

     ...: further arguments passed to or from other methods. 

_V_a_l_u_e:

     'predict.trls' produces a vector of predictions corresponding to
     the prediction locations. To display the output with 'image' or
     'contour', use 'trmat' or convert the returned vector to matrix
     form.

_R_e_f_e_r_e_n_c_e_s:

     Venables, W. N. and Ripley, B. D. (2002) _Modern Applied
     Statistics with S._ Fourth edition.  Springer.

_S_e_e _A_l_s_o:

     'surf.ls', 'trmat'

_E_x_a_m_p_l_e_s:

     data(topo, package="MASS")
     topo2 <- surf.ls(2, topo)
     topo4 <- surf.ls(4, topo)
     x <- c(1.78, 2.21)
     y <- c(6.15, 6.15)
     z2 <- predict(topo2, x, y)
     z4 <- predict(topo4, x, y)
     cat("2nd order predictions:", z2, "\n4th order predictions:", z4, "\n")

