stvmat                package:splancs                R Documentation

_V_a_r_i_a_n_c_e _m_a_t_r_i_x _f_o_r _s_p_a_c_e-_t_i_m_e _c_l_u_s_t_e_r_i_n_g

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

     Compute the variance matrix for space-time clustering

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

     stvmat(pts, times, poly, tlim, s, tm)

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

     pts: A set of points. 

   times: A vector of times, the same length as the number of points in
          'pts' 

    poly: A polygon that encloses the points 

    tlim: A vector of length 2 specifying the upper and lower temporal
          domain. 

       s: A vector of spatial distances for the analysis 

      tm: A vector of times for the analysis 

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

     A four-dimensional matrix is returned. The covariance between
     space-time 't1,s1' and 't2,s2' is given by the corresponding
     element '[t1,s1,t2,s2]' For full details, see Diggle, Chetwynd,
     Haggkvist and Morris (1995)

_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; 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', 'stmctest', 'stdiagn'

