Page 89 - Modern Spatiotemporal Geostatistics
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70       Modern Spatiotemporal Geostatistics —   Chapter 2

        our  physical concepts  and  measurements  have  a  particular  meaning.  Before
        attempting to  apply any sort  of  geostatistical approach to  the  spatiotemporal
        analysis  and  mapping of  natural variables, a system of  coordinates and  metric
        properties  needs  to  be established whereby these variables can  be  quantified.
        The  selection  of  the  appropriate coordinates and metric  properties  depends on
        the  physical  knowledge  relevant  to  the  specific situation,  and  is not  a  purely
        geometric  affair.  Nature does not  allow the  natural  processes to  vary  arbitrar-
        ily,  but  imposes constraints  in  the  form  of  physical  laws which,  in turn,  imply
        restrictions  on the  background space/time  geometry.  Geometrical approaches
        based on the  intrinsic  (internal)  as well  as the  extrinsic  (external)  visualization
        of  the  spatiotemporal  domain were considered in this chapter.
            We  have  examined  several  groups  of  coordinate  systems  and  metrical
        structures.  The  coordinate  systems allow  representations of  space/time  ge-
        ometry  on the  basis of  the  underlying  symmetry  of  the  natural  process under
        consideration.  The  use of a specific  system  also depends on the  mathematical
        convenience afforded by the  system (e.g.,  in the  case of  a natural process that
        has  cylindrical  symmetry,  the  cylindrical  coordinate system  may  be more con-
        venient for  mathematical  manipulations than a rectangular coordinate  system).
        In addition  to  coordinate  systems, an important  issue for  geostatistical  appli-
        cations  is the  introduction of  a metric  that  measures distances in  space/time.
        The definition of an appropriate  metric  depends on the  local properties of space
        and time  (e.g.,  the  space/time  curvature),  as well as on  rules imposed  by  the
        specific  natural  process (e.g.,  diffusion).  The  space/time  metric  is used  in  for-
        mulating  parametric models for the covariance function, which are then  used in
        geostatistical  mapping studies.  In some cases it  is possible, based on invariance
        principles  and other  physical considerations, to  obtain  explicit  expressions  for
        the  metric.  If  explicit  expressions  for  the  metric  are not  available,  it  is still
        possible  to  obtain  the  space/time  correlation  functions  for  specific  processes
        based  on  numerical simulations or  experimental observations (e.g.,  this  is  the
        case with  processes that  occur in fractal spaces).
            It  is possible that  future  experience will  show that  our  tried  and  trusted
        systems  and  metric  structures  are  inadequate,  and  that  a  new,  conceptually
        different  spatiotemporal  geometry will arise.  To properly describe observational
        evidence one may need to  introduce,  e.g., a fourth  spatial dimension.  It  must
        be  emphasized,  however, that four-dimensional  space should  not  be confused
        with  four-dimensional  space/time.  Time  has some  physical  properties  that
        space  does  not  have,  and  vice  versa.  Certain  activities  and  processes  that
        are possible in  pure four-dimensional  space are not  possible in four-dimensional
        space/time.  To  give  another  example, the  Riemannian geometry  we discussed
        in this chapter  needs  to  be modified  in  order to  describe consistently  the new
        short-distance  physics of  superstring  theory.  Future  developments  may  also
        show that  all  physical  knowledge can be unified  into a single science expressed
        in terms  of  space/time  geometrical  conceptions.
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