A GIS application to enhance cell-based information modeling

百花草

Abstract
Maps have been major sources of information for a long time. Geographic Information
Systems (GIS) use digital data, elevation models, satellite images, expert systems
and related open source information for planning, detection, evaluation and decision
making. Maps as well as GIS use spatial attributes of data in particular. Spatial Information
derived is a feature of both data and language to communicate results of
analysis and interpretation.
A natural language approach to geographic concepts is discussed focusing on the
cognitive aspects of categorizing spatial terms, which are represented by vague descriptions.
Scientific analysis, however, requires a formal representation of spatial terms.
The translation of linguistic concepts to spatial terms like ‘‘steep slopes’’ involves inherent
uncertainties that are dealt with by implementing fuzzy logic tools to computerbased
GIS. MapModels is a programming language based on ArcView GIS that allows
users easily to comprehend geographical (spatial) terms by means of analytical tools
including membership models. A flowchart interface is preferred to a line-code oriented
programming language thus enabling the user to focus on a particular problem rather
than a complex programming exercise. Examples are given on how MapModels utilizes
the vagueness of geographic description in GIS analysis. This paper shows, how
MapModels enhances the powerful options of GIS-based spatial analysis in obtaining
information from cell-based images.  2002 Elsevier Science Inc. All rights reserved.
Keywords: Fuzzy sets; GIS; Spatial analysis; Semantic modeling; Graphical programming
languages

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