Metric details for natural-language spatial relations
ACM Transactions on Information Systems (TOIS)
Data, information and knowledge transformation
ICAI'09 Proceedings of the 10th WSEAS international conference on Automation & information
The enhancement of the cell-based GIS analyses with fuzzy processing capabilities
Information Sciences: an International Journal
Knowledge transformation and decision support systems
MAMECTIS'10 Proceedings of the 12th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
Study on context understanding, knowledge transformation and decision support systems
WSEAS Transactions on Information Science and Applications
A knowledge-based problem solving method in GIS application
Knowledge-Based Systems
Control GIS and geo-information modelling
ACMOS'06 Proceedings of the 8th WSEAS international conference on Automatic control, modeling & simulation
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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 in herent uncertainties that are dealt with by implementing fuzzy logic tools to computer-based 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.