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Spatiotemporal Geometry                    35

             2.  The  non-Euclidean  group  of  coordinate  systems, which  assumes that
        the  Euclidean geometry  is not necessarily valid (certain of the Euclidean axioms,
         postulates,  or  theorems  are violated).  This  group  includes the  Gaussian  and
         Riemannian  coordinate  systems (see  "Non-Euclidean  coordinate  systems"  on
         p.  38).
             The  general  curvilinear  system  introduced  above can  be  used  to  coordi-
         nate events and processes in association with many kinds of geometries.  Before
         proceeding  with the detailed  discussion of the coordinate systems used  in  mod-
        ern spatiotemporal  geostatistics,  an issue worth  emphasizing is the possibility of
         using global  as well  as local coordinate  systems.  In many geostatistical  applica-
        tions a single  global coordinate system covers the whole space/time  continuum
        of  interest.  But  it  is also possible that a global  coordinate  system is  inappropri-
         ate  in  several other  applications  and  local  coordinate  systems  should  be used
         instead.  In  other  words,  we may  need to  work  with  coordinate  systems which
         cover  only  a  portion  of  space/time  and  offer  an  internal  visualization  of  the
        domain  (these  systems are sometimes called  coordinate  patches).  The  above
         notions are important  in the  development  of  certain  non-Euclidean  coordinate
        systems described  in the  following  sections.



         Euclidean   coordinate systems

         The  most  common  Euclidean coordinate  systems are essentially special  cases
        of the  orthogonal  curvilinear  systems mentioned  above.  In n =  2 or 3 spatial
        dimensions,  the  Euclidean  group  includes:  (i.)  The  rectangular  (Cartesian)
        coordinate  system (n =  2 or 3; si,..., s n).  (ii.)  Non-rectangular  coordinate
        systems  (Fig.  2.5),  such as the polar  (n =  2; r,  0), the cylindrical  (n = 3; r,
         0,  33),  and the  spherical  system  (n  =  3; p,  tp,  d).


















         Figure  2.5.  Polar  (a),  cylindrical  (b),  and spherical  (c)  coordinate  systems.

             The  rectangular  coordinate  system  is  the  most  commonly  used  system
         in  geostatistical  applications.  Its  extension  in  the  spatiotemporal  domain  is
         described  in the following definition.
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