stdiagn               package:splancs               R Documentation

_S_u_m_m_a_r_y _p_l_o_t_s _f_o_r _c_l_u_s_t_e_r_i_n_g _a_n_a_l_y_s_i_s

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

     Produces some summary plots for clustering analysis

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

     stdiagn(pts, stkh, stse, stmc=0,Dzero=F)

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

     pts: A set of points, as used in Splancs 

    stkh: An object returned from `stkhat' 

    stse: An object returned from `stsecal' 

    stmc: An object returned from `stmctest' 

   Dzero: FALSE - default D plot, TRUE Dzero plot

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

     Four plots are produced on the current graphics device. The first
     plot is simply a map of the data. The second is a perspective plot
     of the difference between space-time K-function and the product of
     spatial and temporal K-functions. The third plot is of the 
     standardised residuals against the product of spatial and temporal
     K-functions. If the Monte-Carlo data is given the fourth plot is a
     a histogram of the test statistics, with the value for the data
     indicated with a vertical line. See Diggle, Chetwynd, Haggkvist,
     and Morris (1995) for details.

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

     Diggle, P., Chetwynd, A., Haggkvist, R. and Morris, S. 1995
     Second-order analysis of space-time clustering. Statistical
     Methods in Medical Research, 4, 124-136;Bailey, T. C. and Gatrell,
     A. C. 1995, Interactive spatial data analysis. Longman, Harlow,
     pp. 122-125; Rowlingson, B. and Diggle, P. 1993 Splancs: spatial
     point pattern analysis code in S-Plus.  Computers and Geosciences,
     19, 627-655; the original sources can be accessed at: <URL:
     http://www.maths.lancs.ac.uk/~rowlings/Splancs/>. See also Bivand,
     R. and Gebhardt, A. 2000 Implementing functions for spatial
     statistical analysis using the R language. Journal of Geographical
     Systems, 2, 307-317.

_S_e_e _A_l_s_o:

     `stkhat', `stsecal', `stvmat', `stmctest'

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

     example(stkhat)
     example(stsecal)
     example(stmctest)
     stdiagn(burpts, bur1, bur1se, bur1mc)

