
Traditional GIS base on the assumption of an objectivable
reality where geographical processes can be fully modelled by
observable and/or measurable quantities or nominal values
(locations, attributes, relations). Such systems may be strong
and efficient tools for the analysis and control of relations
between objects and facts predefined within the system, but it is
impossible to answer questions which go beyond the contents and
structures of the system. This paper suggests the development of
open systems which provide opportunities for new types of
questions and responses and facilitate creativity. This move in
philosophy from 'systems for control' to 'systems for prospective
exploration' may also contribute to a more democrtatic use of
GIS.
Looking at the relation between 'reality' and its
'representation' in a GIS, there is usually agreement that
representation can merely be a model of reality. Nevertheless, by
modeling reality in computer compatible form we assume reality to
be objective, which in fact is not fully correct. In GIS reality
is represented by stated quantities or nominal values (locations,
attributes, relations) which are observable and/or more or less
accurately measurable. This objective view of reality is also
expressed by the 'transmitter-channel-receiver' information
paradigm. Of course, this concept is not entirely without
difficulties there is noise in the channel: The measures are not
perfect, the nature of objects is 'fuzzy' but, nevertheless,
statements in terms of probability are possible. This perspective
represents a reality of given facts and allows its perfection
through more accurate data and a higher resolution. 'Reality' in
this view is represented by objects, and GIS in this sense are
deterministic and predictable systems which facilitate control of
facts and processes defined within the system. If the objects are
well defined, then it is possible to derive the missing pieces in
a linear-causal manner and in terms of a two-valued logic. This
way of viewing the world amounts to the thinking of it as a
'trivial machine', to use the terminology by Heinz von Foerster
(1994, 206-207). A trivial machine is characterized through an
unequivocal relation between input (cause) and output (effect),
results of analyses are predictable and the determination of any
relations is merely a question of effort.
Unequivocalness, to be without contradiction, is a quality
that has its roots in classical logic with its three main
propositions: self-identity, forbidden contradiction and
exclusion of a third possibility. It is a thinking wherein all is
clearly divided into objective being (facts, matter) and
subjective thinking (reflection). Gotthard Guenther (1963, 1975,
1976, 1979, 1980) has very insistently outlined the restrictions
of this two-valued Aristotelean logic: It is impossible to think
the process (life, subjectivity) other than in terms of being
(matter), i.e. in terms of death (i.e. dead matter). He
thererfore postulates the need for logical systems which
transcend the two-valued logic. The power of two-valued thinking,
however, is its ability to build strong closed systems. The
'closing' of a system is achieved by establishing a finite
'vanishing point', the subordination under a common frame of
quality. Quantification and this is a very aim in GIS requires
previous qualification, the setting of a common quality. If it is
intended to calculate in quantitative terms, then it is necessary
to abstract first from qualitative differences: In order to add
two apples and three pears, you have to first convert into pieces
of fruit! The benefit of commonalities is accompanied by a loss
of peculiarity. The establishment of a priori qualities allows to
define concepts such as progress and efficiency, but also error-
propagation is only understandable if it is clear what the 'true
value' is. Standardization and automation again are meaningful
only inside such a choosen frame. The establishment of closed
systems requires predefinitions in the form of reference
qualities. Unfortunately, they are easily taken for granted, the
consciousness of their arbitrayness tends to vanish and give way
to the notion as being just 'naturally' defined they become
'blind spots'. If the embodiment is forgotten, so-called natural
qualities are often overrated, they are claimed to be true
outside their restricted range of definition, their settings are
used in an inappropriate context. This is definitely the case if
process (life, formation, ...) is described by trivial machines,
in a logic of being or dead matter. In times of normalty where a
tacit consensus about the arbitrary settings exists, that may not
create greater problems. In times of crisis (i.e. when the
predefinitions are questioned) it becomes obvious that closed
systems are insufficient.
GIS in a broader sense may be considered as instruments for decision support. If the support is in a context of control, the instruments have to give answers to specific questions. The problem under these circumstances is, that the decisions are already made and so the produced answers are rather used to delegate responsibility. As Heinz von Foerster (1994, 351-352) has pointed out, the only decidable questions are those which are in principle undecidable, because all decidable questions are already decided: a) by the manner that a theoretical framework is defined, inside which the questions are asked, and b) since the rules are determined by which statements (question answer) are connected. To take a decision means to take responsibility. Hence decision support should not delegate responsibility by limiting the scope of inquiry and reducing the range of questions. Decision support should enable to take (real) decisions, i.e. to take responsibility. In the context of control decisions are made at the beginning, in (and before) the design and implementation phase, they are already made hence there is no support for real decisions. But the nature of geographical inquiry relates to living processes and cannot be conducted by closed systems; these rather require the use of 'non-trivial' systems, which in principle are not restricted to predictable mechanisms. To nevertheless explain or predict geographical processes by closed systems accounts to trivializing them. In such circumstances a change from 'answering to known types of questions' to 'providing opportunities for new questions and responses' would be a more adequate approach to handle geographical inquiry. This represents the move from 'reaction within closed systems' to the 'facilitation of creativity and responsibility' or else a move from backward-looking complexity-reducing action to forward-looking creation. And future GIS should facilitate this endeavour.
Within this new approach the real potential of GIS does not ly
in their capabilities for quantification, in the reflection about
reality but rather in the reflection on reflection, i.e. by
making transparent where decisions have been and where decisions
could be made. They should help to facilitate humans to "act
in the manner that the possibilities of choice are
increasing" (Heinz von Foerster's ethical imperative, 1994,
234). This promotes self-organizing forces rather than
restricting obedience. The aim of future GIS design is thus to
replace closed systems by open tools which allow the expansion of
the user's view. This shift in perspective can best be symbolized
by the metaphors of 'systems for control' vs. 'open systems',
'systems for decision support' or 'systems for planning'.
In a open context it is no longer possible to stand outside
the inquiry (to remove oneself) as is the case with systems of
control. The user is not merely judging reality but is involved
in a process of formation in-formation. Explanations tend to fix,
to objectivate reality, they stress static aspects. A language of
'substance' hinders the understanding of processes. This
problematic can be illustrated by the use of the term
'information'. The normal use of this notion is to perceive it as
a commodity: Access to information, information processing,
transmission of information. According to von Foerster (1994,
196-197), this view of information represents merely potential
information because information relates to process and not
substance (information in the sense of in-formation). Information
as facts of knowledge are not really in formation, because they
lack the experience of processing. We may be overhelmed by facts
and counter-facts and still be helpless if we lack experience of
creative processing. Information is a process based on experience
and is thus dependent on the possibilities of experience.
We have outlined the dominant use of present GIS as closed
systems and suggested a move to open systems for creative
exploration, where more emphasis is put on the learning process
(in-formation) and less on rigid administration of facts. Our aim
is not just the development of new methods or techniques but a
shift in focus from control to creativity. Whereas our focus has
been on background thoughts, the real test of these ideas will be
their implementation in actual systems. At this time in this
respect we can only offer questions: How should such systems look
like? In which sense are they really different from what we have
now? What data models and data bases would be needed? Or else, is
merely a change in perception needed, can we answer new types of
questions with existing systems? Do we need computers to
implement these concepts or are we better off to just use good
old brain power? Phrased differently: In which ways can computers
(i.e. GIS) be best used to support unrestricted imagination and
inquiry of (spatial) structures and (spatial) processes?
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