陈换新, 孙群, 李少梅, 马超. 多源空间矢量数据可用性评估方法设计[J]. 武汉大学学报 ( 信息科学版), 2017, 42(5): 676-682. DOI: 10.13203/j.whugis20140374
引用本文: 陈换新, 孙群, 李少梅, 马超. 多源空间矢量数据可用性评估方法设计[J]. 武汉大学学报 ( 信息科学版), 2017, 42(5): 676-682. DOI: 10.13203/j.whugis20140374
CHEN Huanxin, SUN Qun, LI Shaomei, MA Chao. Design of Evaluating Method for Multi-source Spatial Vector Data Usability[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 676-682. DOI: 10.13203/j.whugis20140374
Citation: CHEN Huanxin, SUN Qun, LI Shaomei, MA Chao. Design of Evaluating Method for Multi-source Spatial Vector Data Usability[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 676-682. DOI: 10.13203/j.whugis20140374

多源空间矢量数据可用性评估方法设计

Design of Evaluating Method for Multi-source Spatial Vector Data Usability

  • 摘要: 随着空间数据获取手段的进步和数据质量研究的深化,考虑用户需求、辅助数据使用决策的空间数据可用性评估研究开始受到关注。在阐述空间数据可用性概念和介绍代表性研究方法的基础上,考虑不同的因素对现有方法进行了比较分析。针对现有方法的缺陷,设计了多源空间矢量数据可用性评估的方法,并阐述了其中的关键环节和解决方案。

     

    Abstract: Spatial data usability research focuses on user requirements and assists them in data use decision-making with the progress of spatial data acquisition approaches and development of data quality studies. This paper explores the concept of spatial data usability, and analyzes the existing methods and study methods, according to different factors. Overcoming the limiations of existing methods, combing the professional of expert decision making and computer efficiency, an evaluation method for multi-source spatial vectordata usability is presented. Data integration is used to solve the differences between multi-source spatial vector data, which provides the platform for consistent processing and usability evaluation. A usability evaluation of content is confirmed according to the subject area. The paper discusses the evaluation of geometric and descriptive data, evaluating data usability from the qualitative and quantitative perspective and also from whole to part. Visual analytics are introduced to present evaluation results for multi-source spatial vector data usability, which can help users explore different aspects and details of spatial vector data, and plan thier data use.

     

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