Exploring Geovisualization of Flow Data Using a Web-based Data Visualization Tool (웹기반 데이터 시각화 도구를 활용한 플로우 데이터의 지리적 시각화 기법 탐색)

KIM JIWOO (김지우); Lee, Gunhak (이건학)

Exploring Geovisualization of Flow Data Using a Web-based Data Visualization Tool

Journal of the Korean Cartographic Association
Abbr : JKCA
2017, 17(1), pp.25-39
Publisher : The Korean Cartographic Association
Research Area : Social Science > Geography > Geography in general > Cartography
Published : April 30, 2017

KIM JIWOO ¹, Lee, Gunhak ²

¹서울대학교 지리학과
²서울대학교

Accredited

ABSTRACT

Flow data have been utilized for analyzing and understating a regional spatial interaction and the dynamics of spatial organization by spatial interaction. As a classical cartographic visualization method, flow map has been broadly used for representing flow data. A flow map, however, has technical limitations such as lower readability and occlusion by representing complicated many flows. In this regard, this research focuses on an information visualization tool which has been paid attention as a new approach for representing not only non spatial data but also spatial data. We attempt to explore the applicability of a information visualization tool for geovisualization of flow data and evaluates the usability of various information visualization graphs. To do this, we utilize several graphs of Java script library of D3.js, including forced-directed graph, chord diagram, hierarchical edge bundling, Sankey diagram, and time-distance graph and present various geovisualization ways of rapid-trasit railway flows. From a result of case study, it turns out that each of information visualization techniques is able to overcome limitations of a traditional flow mapping technique in an effective way, and is quite useful as an alternative way of visualizing flow data. Also, it is expected that this paper provides a useful guideline for geovisualization of flow data, and leads a cognitive change of spatial information mapping and visualization in geography, cartography, and other areas dealing with spatial information.

KEYWORDS

Flow data, Flow map, Geovisualization, Information visualization, D3.js, Rapid-transit railway, GIS

Citation status

* References for papers published after 2023 are currently being built.

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