期刊文献+

矢量数据综合规则表达与实现方法——以土地利用数据综合为例 被引量:11

Research On Expression and Realization of Rules of Vector Data Generalization:A Case Study of Landuse Data
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摘要 一库多用是GIS处理海量数据的有效方式。一库多用要求GIS能够从大比例尺数据生成小比例尺数据,这就要求GIS具备数据自动综合功能。GIS数据综合的关键是建立规则库,实现不同用户对规则库的自定义,以提高系统GIS数据自动综合的的通用性。GIS数据自动综合是计算机遵循的一定规则,对各个记录进行一一处理的过程。本研究基于产生式知识规则表达方式,提出"预存储规则"的实现方法。首先,最大量地收集与某一专题相关的所有知识规则,建立专题规则库;然后,根据相应的需求,在该专题规则库的基础上,通过用户接口定义不同应用规则库。该方法在一定程度上实现了程序与规则的分离和规则库的自定义。最后,给出了原型实验系统。 GIS is now used in more and more fields, h is required that GIS should be equipped more function. Peo- ple desire that the geo-data visualization should be with multi-angle, multi-point and multi-level. So GIS must be e- quipped with automatic data-generalization function. GIS relies on a rule database to realize automatic data general- ization. In this paper we suggest that automatic data generalization is a process using a computer to process every database record according to the rules. Based on the production-rule method, this paper proposed a method named Rules Pre-stored to enable users to define application rule database. According to the method, a GIS application first builds a thematic rules database which includes all the rules with respect to a specific theme. The rules data- base is called the theme rules database. Different users of the theme could define their own special application rule database based on the theme rules database through the user interfaces. A demonstration was also given. To some extent, the self-defined rule database and the separation of code and rules were accomplished. The result shows that the research idea and technical route are feasible.
出处 《地球信息科学》 CSCD 北大核心 2009年第4期421-427,共7页 Geo-information Science
基金 国家科技支撑计划项目(2006BAD10A05) 国家863计划项目(2006AA10Z239)
关键词 自动综合 综合操作 规则库 规则 automatic generalization generalization operations rule database rule
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参考文献15

  • 1Wu Huayi, Zhu Haijun, Liu Yi. A Raster-based Map Information Measurement for Qos. Proceedings of ISPRS, 2004, 365 - 370.
  • 2程昌秀,陆锋,牛方曲.栅格地图信息量计算方法的验证分析[J].地球信息科学,2006,8(1):127-130. 被引量:7
  • 3Niu Fangqu, Zhu Dehai, Cheng Changxiu. Map Information Theories and Adaptive Visualization of Electronic Map in Feature Class-based Zooming. Geoinformatics :Geospatial Information Science, Proc. of SPIE ,2006.
  • 4Shea K. Design Considerations for an Artificially Intelligent System. In: Buttenfield B P, McMaster R B, (Eds) Map Generalization: Making Rules for Knowledge Representation. London: Longman, 1991.
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  • 6Muller J C, Weibel R, Lagrange J P, et al. Generalization : State of the Art and Issues. In: Muller J C, Lgrange J P, Weibel R, (Eds) GIS and Generalization:Methodology and Practice, New York : Taylor & Francis, 1995,3 - 17.
  • 7应申,李霖.制图综合的知识表示[J].测绘信息与工程,2003,28(6):26-28. 被引量:27
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  • 9Heisser M, Vickus G, Schoppmeyer J. Rule-orientated Definition of the Small Area Selection" and Combination' Steps of the Generalization Procedure. In : Muller J C, Lagrange J P , Weibel R, (Eds) GIS and Generalization: Methodology and Practice. New York: Taylor & Francis, 1995,135 - 147.
  • 10Peter B. and Weibel R. Using Vector and Raster-Based Techniques in Categorical Map Generalization, Third ICA Workshop on Progress in Automated Map Generalization. Ottawa, 1999.

二级参考文献23

  • 1Shea K. Design Considerations for an Artificially Intelligent System. In: Buttenfield B P, McMaster R B, eds. Map Generalization: Making Rules for Knowledge Representation . London: Longman, 1991
  • 2Brassel K E, Weibel R. A Review and Conceptual Framework of Automated Map Generalization. International Journal of Geographical Information System, 1988, 2(3): 229~244
  • 3Armstrong M. Knowledge Classification and Organization. In: Buttenfield B P, McMaster R B,eds.Map Generalization: Making Rules for Knowledge Representation. London: Longman, 1991
  • 4Beard M K. Constraints on Rule Formation.In: Buttenfield B P,McMaster R B,eds. Map Generalization: Making Rules for Knowledge Representation. London: Longman , 1991.121~135
  • 5Muller J C, Weibel R, Lagrange J P, et al. Generalization: State of the Art and Issues. In: Muller J C, Lagrange J P , Weibel R,eds.GIS and Generalization: Methodology and Practice. New York:Taylor & Francis, 1995. 3~17
  • 6Heisser M, Vickus G, Schoppmeyer J. Rule-orientated Definition of the Small Area Selection' and Combination' Steps of the Generalization Procedure. In: Muller J C, Lagrange J P , Weibel R, eds. GIS and Generalization: Methodology and Practice. New York:Taylor & Francis, 1995.135~147
  • 7Peter B, Weibel R. Using Vector and Raster-Based Techniques in Categorical Map Generalization.Third ICA Workshop on Progress in Automated Map Generalization, Ottawa, 1999
  • 8Hardy P, Briat M O, Eicher C. Thierry Kressmann, Database-driven Cartography from a Digital Landscape Model, with Multiple Representations and Human Overrides. ICA Workshop on Generalization and Multiple Representation, Leicester, UK,2004
  • 9Tian S F.Theory and Application of Artificial Intelligence-Expert System, Machine-learning and Object-Oriented Methods. Beijing:Publisher of Beijing University, 1992
  • 10Peng W N. Automated Generalization in GIS:[ Ph.D Dissertation]. Holnand: Wageningen Agricultural University, 1997

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引证文献11

二级引证文献36

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