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GIS中地理边线不一致性的处理 被引量:13

Dealing with Inconsistency between Digital Geographic Lines from Multi-data Sources in GIS
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摘要 地理边线的不一致性是GIS多源空间数据集成、建库和分析中的常见问题。首先分析了地理边线不一致性的类型,并归结为顶点数目完全和不完全匹配两种情况,其中前者可以直接利用结点广义捕捉算法处理。为了匹配后者的顶点数目,提出了投影配点的标准化处理,并导出了投影点的坐标计算和误差估计公式。此外,还导出了一致化改正后地理边线长度的误差估计公式。最后通过算例说明所提出方法的实现过程。 Data quality in spatial databases has been widely recognized as one of the most critical issues in GIS. Its key dimension is assessing data suitability, including data accuracy, precision, uncertainty, compatibility, consistency, completeness, availability and timeliness recorded in the data lineage. Over decades, data quality has attracted much attention in the GIS community, and various aspects of data quality have been investigated. However, research on topological consistency remains very weak though it is crucial for GIS spatial analysis. This paper proposes a new technique on handling topological consistencies as well as tracing error propagation. First, inconsistencies of digital geographic lines are categorized into two groups with or without equal numbers of vertexes. Then a standard formalizing approach has been introduced to make numbers of vertexes matched in the two poly-lines so that the generalized algorithm of node snapping can be used to remove the inconsistencies between the two poly-lines. Third, the equations of estimating the coordinates of the projected points and their errors in the process of standard formalization have been derived. The formulae of calculating the length, together with its accuracy, of new generated poly-lines have also been obtained. Finally, simple examples are provided to demonstrate how to implement the proposed technique into practice.
出处 《遥感学报》 EI CSCD 北大核心 2005年第4期343-348,共6页 NATIONAL REMOTE SENSING BULLETIN
基金 国家自然科学基金项目(编号40471109) 测绘遥感信息工程国家重点实验室开放研究基金项目(编号WKL040304) 基础地理信息与数字化技术山东省重点实验室开放研究基金项目(编号SD040201)
关键词 边线匹配 不一致性 误差估计 geographic line matching inconsistency error assessment
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参考文献12

  • 1Burrough PA, McDonnell RA. Principles of Geographical Information Systems[M]. Oxford: Oxford University Press, 1998. 被引量:1
  • 2Veregin H. Data Quality Parameters[A]. Longley P A, Goodchild M F, Maguire D J, et al.(ed.), Geographical Information System[C]. 2nd Eds. New York: John Wiley & Sons, 1999. 被引量:1
  • 3Guptill S C, Morrison J L. Elements of Spatial Data Quality[M]. New York: Elsevier Science, 1995. 被引量:1
  • 4邓敏..矢量GIS中拓扑关系的扩展模型:理论和方法[D].武汉大学,2003:
  • 5Servigne S, Ubeda T. A Methodology of Spatial Consistency Improvement of Geographic Databases[J]. GeoInformatica, 2000, 4(1): 7-34. 被引量:1
  • 6艾廷华,毋河海.相邻多边形共享边界的一致化改正[J].武汉测绘科技大学学报,2000,25(5):426-431. 被引量:43
  • 7ESRI. Arcedit Users Guide: Interactive Graphics Editor[Z]. California: Environmental Systems Research Institute, 1988. 被引量:1
  • 8University Consortium for Geographic Information Science. Research Priorities for Geographic Information Science[J]. Cartographic and Geographic Information System, 1996, 23(3): 115-127. 被引量:1
  • 9Mikhail E M. Observations and Least Squares[M]. New York: A Dun-Donnelley Publisher, 1976. 被引量:1
  • 10刘文宝,夏宗国,崔先国.GIS结点捕捉的广义算法及误差传播模型[J].测绘学报,2001,30(2):140-147. 被引量:16

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