Page 184 - Modern Spatiotemporal Geostatistics
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        MODIFICATIONS             OF    FORMAL        BME
        ANALYSIS


        "Common   sense  has  the  very  curious property  of  being  more  correct
        retrospectively  than  prospectively.  It  provides  a  kind  of  ultimate  vali-
        dation  after  science  has completed its work; common sense seldom an-
        ticipates  what  science  is going  to discover."  R.L. Ackoff


        Versatility    and Practicality
        In the  preceding chapters,  strong emphasis  has been  laid on the  view that  the
        construction  of  a  spatiotemporal  map  representing  a  natural  phenomenon—
        which  is  characterized  by  considerable variability  and  uncertainty—requires
        both:  (a)  broad-based physical knowledge;  and (b)  scientific  reasoning strate-
        gies  to  operate  over  such  knowledge.  This  double  requirement  is  fully  ap-
        preciated  by  the  BME  theory,  which  combines  a  variety  of  physical  knowl-
        edge sources with a sound scientific  reasoning framework that  revolves around
        meaningful epistemic  ideals and goals, multiple estimation  options,  and cogent
        predictions.
            An  important  feature of the theoretical  BME formulation  is its  versatility.
        Indeed,  several  modifications  of  the  formal  BME  approach  can  be  made  in a
        rather  straightforward  manner.  Some  of  these modifications  are examined  in
        this chapter.  In particular,  in the  following  section, we are concerned with  the
        study  of  functionals such  as block average concentration,  temporally  averaged
        exposure,  and  population  damage indicator.  Multivariable  or  vector  mapping
        (i.e.,  estimation  of  several  natural variables jointly)  is the  topic  of  the  third
        section.  Then, the fourth section introduces the  main framework of multipoint
        BME  analysis  (i.e.,  estimation  at  several  space/time  points  simultaneously).
        This topic  is of considerable practical importance, which is the  reason that  it is
        revisited  in Chapter 11.  Finally, in the last section, we discuss the important role
        that  BME  can  play  in  the  context  of  systems  analysis.  In  many applications

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