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2018•Unpublished venueRequires access

An Overview of Geospatial Information Visualization

Taotao Zou, Wenshu Li, Pengyuan Liu, Xianchuang Su, Hai Huang, Yang Han, Xiaoying Guo

Open publisher page 5 citations

Abstract

The geospatial data nowadays are usually large and complex, which call for innovative and easy-to-understand visualization platforms that can reveal meaningful information. Compared with the traditional visual analysis methods, today's visualization technologies have been able to deal with large amount of complex data. This paper reviews the technologies and applications of geospatial information visualization. Finally, the problems and challenges of geospatial visualization are expounded, and the possible future directions are discussed.

About this research paper

What this paper is about

The geospatial data nowadays are usually large and complex, which call for innovative and easy-to-understand visualization platforms that can reveal meaningful information. Compared with the traditional visual analysis methods, today's visualization technologies have been able to deal with large amount of complex data. This paper reviews the technologies and applications of geospatial information visualization. Finally, the problems and challenges of geospatial visualization are expounded, and the possible future directions are discussed.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

The geospatial data nowadays are usually large and complex, which call for innovative and easy-to-understand visualization platforms that can reveal meaningful information. Compared with the traditional visual analysis methods, today's visualization technologies have been able to deal with large amount of complex data. This paper reviews the technologies and applications of geospatial information visualization. Finally, the problems and challenges of geospatial visualization are expounded, and the possible future directions are discussed.

Key concepts: Geospatial analysis, Visualization, Geovisualization, Computer science, Data science, Information visualization, Data visualization, Visual analytics

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