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THE INCERTITUDE DISPOSAL METHODS OF THE SPATIAL DATA

机译:空间数据的快感处置方法

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摘要

In the process of constructing and applying the GIS, the data is the object of the GIS operation and the basis of the science decision-making and analysing so that the data quality is determined the success or failure of the whole system application. Any indeterminations in the data layers can diffuse through analysing and combining with other error source. It makes risks to decision-making. The theory and method of incertitude analysis in the GIS and RS is one of the GIS study focus at present, because there is not a mature and systemic theory and method to disposing the incertitude in the GIS. In this article, we study mostly the incertitude of the spatial data, the method of disposing the incertitude in the GIS and RS. In this paper, the inadequacies of the current incertitude control methods for spatial data were pointed out. we argue that some strategies can be taken to manipulate incertitude according the spacial data incertitude resource . Robust algorithm can effectively avoid incertitude and improve the spacial data qualities in the process of spacial data, and spatial data incertitude can be control by studying robust algorithm.
机译:在构建和应用GIS的过程中,数据是GIS操作的对象和科学决策和分析的基础,使得数据质量决定了整个系统应用的成功或失败。数据层中的任何不确定都可以通过分析和与其他错误源组合来扩散。它对决策产生风险。 GIS和Rs中感觉分析的理论和方法是目前GIS研究重点之一,因为没有成熟和系统的理论和方法,可以在GIS中处理感受性。在本文中,我们大多学习空间数据的行为,处理GIS和Rs中的行为的方法。本文指出了当前空间数据的不稳定控制方法的不足。我们认为,可以根据空间数据行动资源来操纵一些策略来操纵。鲁棒算法可以有效地避免了间隔数据过程中的行动和改善的空间数据质量,并且通过研究稳健的算法可以控制空间数据。

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