A Visualization Method for Personal Geotagged Data

doi:10.11947/j.AGCS.2015.20130808

Abstract

Abstract:

Geotagged personal datas, which are released by laptop, tablet PC or mobile device,contain personal data such as text, photos, video information and geographic position information. In this paper, we propose a new visualization method—the topological map of personal geotagged data (simply, the topological map) and provide the design and implementation of the core algorithm for the method. In order to evaluate the effectiveness of the method, we conduct a usability test for "a text list", "a thematic map" and "a topological map" and use analysis of variance(ANOVA) to deal with test data. The results show that the three kinds of user interfaces have statistically significant difference in terms of efficiency in finding personal geotagged data, and there are not significant difference between a text list and a topological map, while the latter is slightly faster than the former, however, both are significantly better than a thematic map.

Key words: visualization, personal geotagged data, usability test, AVOVA

CLC Number:

P208

HUA Yixin, LI Xiang, WANG Lina, ZHANG Jin. A Visualization Method for Personal Geotagged Data[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(2): 220-227.

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