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A Study on Geographic Visualization of Public Data Using Google API in Cloud Computing Environment

  • Journal of the Korean Cartographic Association
  • Abbr : JKCA
  • 2014, 14(1), pp.1-15
  • Publisher : The Korean Cartographic Association
  • Research Area : Social Science > Geography > Geography in general > Cartography

Youngok Kang 1 Hyeon Deok Kim 2

1이화여자대학교
2공간정보연구원

Accredited

ABSTRACT

Recently, GIS has been changing from the environment of using specific software to the one of using the open source. Especially, Map API on portal sites has been widely used because everyone can utilize it wherever Internet is connected. In the past, there were many cases of using simple mash-up on the Map API. However, as Map API has evolved into providing various visualization functions, it becomes possible for us to explore and analyze data. Based on such background, this study intends to research how to visualize public data geographically using Google API through a case study. For this research, we collected public data on one-person household and implemented geographic visualization on the Web by using Google’s Map, Earth, Chart, and Fusion Table API. This study has significance in that it visualized data geographically beyond mash-up and made possible for user to explore data interactively. Also, in this study we investigated how to use spatial and nonspatial data among public data with Open API. This study has additional significance in that it suggested a method that both non-specialists who do not need professional spatial analysis and schools which do not have good computer environment can utilize geographic visualization function in cloud computing environment.

Citation status

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