Abstract
The gap between SDA (Spatial Data Analysis) and GIS (Geographical
Information Systems) existed for a long time. Presently this problem
still remains in spite of a lot of theoretical and practical studies
which try to find the solution for it. The research background and
current situation about how to integrate SDA and GIS are introduced at
first. The main idea of this article is to make sure what is the best
scheme to bridge the gap between SDA and GIS and how to design it.
There are a lot of factors to influence the standards to assess such a
scheme, for instance, the attitude of users and GIS developers, the
framework and related functions of current available GIS software in
the market and so on. But the two most important ones of them are
efficiency and flexibility of the scheme itself. Efficiency can be
measured by the convenient extent and temporal length when it is used
for carrying out SDA. Flexibility means users can define their own SDA
methods. The best integration scheme should satisfy the two standards
at the same time. A group of functions, which can be combined to
implement any SDA method, are defined in order to design such an
integration scheme. The functions are divided into five classes
according to their properties.
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