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Mathematical   Formulation of  the  BME  Method       123

        The subsidiary theories  and parameters are combined with empirical evidence in
        part  (c),  and then  interpreted,  tested,  and evaluated  in detail  in parts  (d)  and
        (e).  The testing and evaluation  may involve  (but  are not  limited  by) the  Pop-
        perian  falsification  principle, which  attempts to  define the applicability  limits
        of  the  models (e.g.,  the  areas  in which  the  models are falsified,  or they  make
        incorrect  predictions).
            While  parts  (a),  (b),  and  (e)  belong  to  the  theoretical  world,  parts  (c)
        and  (d)  belong  to  the  empirical  world.  These two  worlds  are linked  through
        a  feedback  process, which  allows modern  geostatisticians  to  learn  from  their
        own  mistakes.  Indeed, if  the  predictions  are not verified or an appropriate  level
        of  understanding  and explanation  is not  achieved, the  implication  is that  there
         must  be unknown  influences which are relevant  and which  should be sought  at
        the  ontological  level of  part  (b)  or there is a lack  of sufficient  data  in  part  (c).
         In  rare  cases  one  may need to  modify  the  core epistemology  of  part  (a).
            The  core  program  aims  at  drawing  attention  to  salient  features  of  the
        observational world and its relation to the understanding process of the observer
         (the  geostatistician).  The program involves a strong formal part  (mathematical
        concepts and tools,  etc.).  Depending  on the  results obtained  (accuracy of  the
         predictive  pattern,  explanatory  content  of the  maps, etc.), a subsidiary  theory
         may  be  modified  or  replaced by another,  if  necessary. This was the  meaning,
         e.g.,  of  Comment  1.4  (p.  21;  e.g.,  information  measures  other  than  entropy
         may  be considered).




        The    Two    Legs   on Which      the   BME
         Equations Stand

        To summarize, what we have demonstrated  is that the  BME  approach of  mod-
        ern  spatiotemporal  geostatistics  forces  the  researcher  to  determine  explicitly
        the  physical  knowledge  bases  that  are  objectively  available, and  to  develop
         logically  plausible  rules for  knowledge  integration  and  processing.  All  of  this
        is  epistemically  incorporated  in  the  mapping  process; nothing  is  swept  under
        the  carpet.  As  a  consequence, the  conclusions that  can  be  reached  by  the
         BME  method  have a security  that  is denied to  conclusions  reached  merely  by
        empirical  procedures.
            We  have  also  established that  there  are two  fundamental  operators  in-
        volved  in the  mathematical  formulation  of the  BME approach:
          (i.)  the 9£-operator that  incorporates  general knowledge §, and
         (ii.)  the  9£-operator that  incorporates specificatory  knowledge  S-
        These  two  operators  are,  indeed,  the  two  legs  on  which  the  BME  equations
        stand.  Much  of  the  following chapters  are essentially mathematical  results  in
        terms  of  these two  operators.  The  mathematics that we will  use, however, are
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