SYSTEMS FOR INTEGRATED GEOINFORMATION:
stages of evolution
Morakot Pilouk
International Institute for Aerospace Survey and Earth Sciences (ITC)
P.O. Box 6, 7500 AA Enschede, The Netherlands
Tel. +31-53-4874358, Fax +31-54-4874335
E-mail: MORAKOT@ITC.NL
XVIII ISPRS Congress, Commission Il, Working Group 2
KEYWORD: GIS, Technology, Design, Systems, Vector.
ABSTRACT
The evolution of geoinformation technology in the last decade has resulted in a rapid change in the way geoinformation can
be used and presented. The technological development stimulates the coherent use of information from multi-sources with
multiple themes and dimensions to answer questions that demand increasingly complex spatial analysis. This requires to have
a powerful geoinformation system (GIS) that can efficiently integrate, manage, process and present different types of
geoinformation. The paper points out the importance of an integrated spatial model that well-represents real world objects
and relationships among them. An integrated spatial model is considered a very important basis of a GIS. Four variants of
system architecture are distinguished corresponding to different levels of integration. The variants are discussed with respect
to fourteen criteria. Further development should be directed to structural integration using the integrated spatial model as a
basis, as being the most promising approach.
1. INTRODUCTION
The scientific study of the earth to improve human's living
conditions, the quality of life and to prevent or mitigate
hazards and disasters by exploiting modern digital
computing technology requires to represent the real world
aspects under interest in a digitally constructed spatial model.
Using a tool set provided by a GIS, a spatial model can be
constructed and may allow to virtually perform many tasks
that otherwise would be carried out in reality, which may be
too difficult, too expensive or destructive. A high quality
spatial model that represents well all relevant aspects of
reality, i.e. real world objects of interest and relationships
among them, is needed to make the results obtained from
operations on the model comparable to actual operations in
reality. The richness of operations on the model, which
reflects the functionality of the system, depends on the
complexity of the spatial model. As such the spatial model is
decisive basis of the system. In present practice, many GISs
tend to be developed by combining different spatial models
and related functions such as for modelling of terrain relief
and 2D terrain characteristics with thematic aspects (e.g.
colour, texture). This is achieved by using digital terrain
model (DTM) sub-system and typical current GIS software.
The approach implies a spatial model whose components
are still separately stored and are loosely related. As a
consequence the model is not robust and may not well-
represent the real world aspects.
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In general, a GIS should be aiming at integration of all
necessary elements for the spatial model and functions to
efficiently create and utilise the spatial model. This paper,
therefore, analyses architectures of GISs in order to assess
their present status and development trend, which may help
to define the direction of the related research and stimulate
development of GIS that can easily be used. The first part of
this paper reviews general aspects of GIS with a brief outline
of its functional components based on the user-perspective.
The main concem is system usage, investment, maintenance,
productivity and reliability of information. With respect to the
robustness of the spatial model as a basis of GIS as well as
taking into account present development in information and
communication technology, four evolution stages of system
architecture for GIS are distinguished ranging from loosely
constructed to the well constructed systems.
2. GENERAL ASPECTS OF A GIS
A GIS is to be used to produce a spatial model in a form of
database which contains a selective set of aspects of reality.
In addition to the production role of a spatial model, a GIS
should also play an interface role between human users and
the database. This role includes data entry, information query
and presentation. Data entry translates human knowledge
into a component of the model conforming to the data
model and data structure. Information query performs the
reverse operation by translating the electronic components
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B2. Vienna 1996
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