| 多源矢量空间数据可用性评估的可视分析 |
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| 引用本文： | 陈换新,马超,张吉才,陈长林,秦志强,马京振,汪亚群.多源矢量空间数据可用性评估的可视分析[J].测绘通报,2021,0(9):74-78. |
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| 作者姓名： | 陈换新 马超 张吉才 陈长林 秦志强 马京振 汪亚群 |
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| 作者单位： | 1. 96911部队, 北京 100011;2. 西安测绘研究所, 陕西 西安 710054;3. 61618部队, 北京 100088;4. 海军研究院, 天津 300061;5. 信息工程大学地理空间信息学院, 河南 郑州 450052 |
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| 基金项目： | 国家自然科学基金（41571399；41901397） |
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| 摘 要： | 本文将可视分析引入到多源矢量空间数据可用性评估中，为用户提供探索发现数据可用性的环境。在论证可行性的基础上，制定了多源矢量空间数据可用性评估可视分析应遵循的基本原则。在反映多源空间数据的同时，根据用户需求确定评估内容，触发相应模型计算并可视化表达，将用户需求、人脑认知通过交互界面和计算机算法模型相结合，允许用户按照自身需求了解不同数据的各种信息，帮助用户发现隐藏在数据中的知识，进而制定科学合理的数据使用方案。
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| 关 键 词： | 多源矢量空间数据 可用性 可视分析 人机交互 可视化 |
| 收稿时间： | 2021-04-19 |
| 修稿时间： | 2021-07-21 |
The visual analysis of multi-source vector spatial data usability evaluation |
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| CHEN Huanxin,MA Chao,ZHANG Jicai,CHEN Changlin,QIN Zhiqiang,MA Jingzhen,WANG Yaqun.The visual analysis of multi-source vector spatial data usability evaluation[J].Bulletin of Surveying and Mapping,2021,0(9):74-78. |
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| Authors: | CHEN Huanxin MA Chao ZHANG Jicai CHEN Changlin QIN Zhiqiang MA Jingzhen WANG Yaqun |
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| Institution: | 1. Troops 96911, Beijing 100011, China;2. Xi'an Institute of Surveying and Mapping, Xi'an 710054, China;3. Troops 61618, Beijing 100088, China;4. Naval Research Academy, Tianjin 300061, China;5. Institute of Geography Spatial Information, Information Engineering University, Zhengzhou 450052, China |
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| Abstract: | This paper introduces visual analytics to the evaluation of multi-source vector spatial data usability, which offers the environment of visual analysis to the user. Analyzing the feasibility from concept and technique, the paper formulates the basic principles. Visualizing the multi-source spatial data, the usability evaluation is driven by user requirements, and then the relevant model program is triggered to calculate and visualize. Visual analysis can link the user demand, human cognition and usability evaluation models together through interactive interface. With the help of visual analytics, user can explore different aspects and details of multi-source vector spatial data, and then make scientific plan of data use based on obtaining the hidden knowledge. The experiments indicate that this method holds higher efficiency and better experience feeling. |
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| Keywords: | multi-source vector spatial data usability visual analysis human-computer interaction visualization |
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