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A fast checking algorithm of overlay, repetition and disjoint errors in land spatial data

机译:覆盖,重复和土地空间数据中的快速检查算法

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While in land spatial data processing or application, spatial relationship of land data features should be carefully checked to guarantee the data quality. For land use data or cadastral data, lots of spatial relation rules need GIS query functions to find the overlay or disjoint feature errors, for example, all the land use patches must conform to combine a non-overlay, non-repetition and continuous area. Currently, there are many types of spatial relationship like equality, contain, intersect, disjoint, overlay, contact etc, which can be utilized in GIS systems. Though each of them can find different data errors, they require in turn examining every pair of features separately and will be very time-consuming, especially when land use data contains large number of features or lots of the feature shapes are complicated, so for land spatial data management system, a fast algorithm is needed to systematically check variant data errors in a short time. In this paper, a new land data checking algorithm of overlay, repetition and disjoint errors is proposed. The main concept and detail steps of this algorithm are introduced and illustrated. Then an experiment on comparing this algorithm and a common algorithm which uses spatial query functions of GIS software in checking overlap, repetition, and disjoint errors for land use data is carried out. Results show that this algorithm has high efficiency than the other one.
机译:虽然在土地空间数据处理或应用中,应仔细检查土地数据功能的空间关系,以保证数据质量。对于土地使用数据或地籍数据,许多空间关系规则需要GIS查询函数来查找叠加或不相交的功能错误,例如,所有土地使用补丁必须符合非覆盖,非重复和连续区域。目前,可以在GIS系统中使用许多类型的空间关系,如平等,包含,交叉,不相交,覆盖,联系人等。虽然它们中的每一个都可以找到不同的数据错误,但他们需要分别检查每对特征,并且会非常耗时,特别是当土地使用数据包含大量特征或许多特征形状时都是复杂的,所以对于土地而言是复杂的空间数据管理系统,需要快速算法来系统地检查变体数据错误。本文提出了一种新的覆盖,重复和不相交错误的新土地数据检查算法。介绍和说明了该算法的主要概念和细节步骤。然后,执行了对使用GIS软件的空间查询函数在检查重叠,重复和土地利用数据中的空间查询函数的常用算法的实验。结果表明,该算法具有比另一个高效率。

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