Acta Geographica Sinica ›› 1999, Vol. 54 ›› Issue (4): 373-381.doi: 10.11821/xb199904010

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Data Logic Study for the Resources and Environment Information System Design in a Feature based Approach

CHEN Chang song1, HE Jian bang 2   

  1. 1. Chinese Academy of Surveying and Mapping, Beijing 100039;
    2. Institute of Geography, CAS, Beijing 100101
  • Received:1998-04-20 Revised:1998-11-26 Online:1999-07-15 Published:1999-07-15
  • Supported by:
    The national key ninth-five-plan project,No.97-759-01-01-04 and 97-925-01-01

Abstract: The category theory is a dominant methodology in the designs of the resources and environment information systems (REIS) and information coding. This approach, however, proves to meet only thematic REIS designs. A new method must be used in the designs of the comprehensive REIS to get a stable performance and more easy sharable system. The paper proposes a feature based approach to be an improvement of the category method in the designs of an integrated REIS. The feature based GIS model is a semantics model from the point of abstractive levels. It has a higher abstractive level than some spatial data models such as the vector or raster GIS data models. The concept of geographic feature, the key concept in the feature based model, has the following characteristics: (1) It is applicable directly but application-independent. (2) Application schemas can be formed by the integration of a standard feature schema and some different descriptive data. In allusion to the shortcomings of the category approach in the REIS designs: term instabilities, meaning instabilities and classification position instabilities, the paper argues that the integration of standard feature schema and descriptive data can be utilized to form different resources and environment application schemas.

Key words: category theory, geography elements, GIS model, environment and resources information

CLC Number: 

  • P208