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Spatiotemporal  Mapping  in  Natural  Sciences       11

        constraints are often  imposed on the form of the estimator,  extrapolation  is not
        reliable  beyond the  range  of  the  data,  computational  problems emerge in  the
        practical  implementation  of  some  methods,  etc.;  see, also,  discussions in  the
        following sections).  In this book an attempt is made to  develop a group of what
        might  be called  modern  spatiotemporal  geostatistics  concepts and  methods.
        The  goal of  modern spatiotemporal geostatistics  is to  remove some limitations
        of  the  older  methods,  thus  providing  a  significant  improvement  in  the  field
        of  scientific  mapping.  As  is described in  the  following  postulate,  the  book's
        approach  to  spatiotemporal  modeling will  be that of the  physical scientist.

        POSTULATE     1.2:  Modern  spatiotemporal  geostatistics  is  concerned
        with stochastic  analysis that  functions at  both the  ontological  level  (i.e.,
        building  models  for  natural  systems)  and  the  epistemic  level  (i.e.,  us-
        ing  what  is known  about  the  systems and  how  knowledge  is integrated
        and  processed from  a  variety  of  scientific  disciplines),  rather  than  with
        pure  inductive  procedures  based  on  linear  relationships  between  data
        and  hypotheses  using  physical theory-free  techniques.
            This fundamental postulate—which will be discussed in more detail  in  the
        following  section—is  made  necessary  for  the  additional  reason  that,  despite
        calls for  closer interaction  between scientific fields, some disciplines were never
        more  narrow-minded and agoraphobic than  today.
            Some  researchers  may sound  rather pessimistic when they  argue that  "we
        are slipping  into a new form of darkness:  one where it  is popular, profitable, and
        politically  expedient  to  suppress science" (Milloy  and Gough, 1998,  p. vi],  but
        the  phenomenon of people withdrawing  in fear from  novelty is not uncommon—
        especially when the new tools originate  in disciplines other than their  own.  The
        current  rigid  system often  discourages the  vitally  important  cross-fertilization
        of  concepts,  models, and techniques between disciplines.



        C O M M E N T 1.1 : Th e term   "epistemic"   i n Postulate   1. 2 above   signifies



        the scientific   study   of   knowledge,   as   opposed   to   the   philosophical   theory
        of knowledge,   which   is known   a s epistemology   (Buttock   e t al. , 1977).   A






        more extended   definition   of   epistemic   would  include   "constructing   formal



        models of   the processes  by which knowledgeand  understanding are achieved,

        communicated, and   integrated  within the framework of   scientific  reasoning."

        The    Epistemic Status of       Modern     Spatiotemporal
        Geostatistics:      It  Pays  to Theorize!
        What  is the  main distinction  between the  modern geostatistics  ideas advocated
        in this book  and classical geostatistics?  To answer this question, one must  look
        into the  different  scientific  reasoning frameworks  underlying these two  fields.
            Classical  geostatistics  was designed  to  fit  into  a  pure  inductive  frame-
        work.  This  framework  basically involves the  following  stages:  (i.)  piling  up
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