The visual analysis of multi-source vector spatial data usability evaluation

doi:10.13474/j.cnki.11-2246.2021.0277

Abstract

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.

Key words: multi-source vector spatial data, usability, visual analysis, human-computer interaction, visualization

CLC Number:

P208

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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