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http://dx.doi.org/10.11108/kagis.2018.21.1.057

Development and Application of Dynamic Visualization Model for Spatial Big Data  

KIM, Dong-han (National Territorial & Regional Research Division, Korea Research Institute for Human Settlements)
KIM, David (National Territorial & Regional Research Division, Korea Research Institute for Human Settlements)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.21, no.1, 2018 , pp. 57-70 More about this Journal
Abstract
The advancement and the spread of information and communication technology (ICT) changes the way we live and act. Computer and ICT devices become smaller and invisible, and they are now virtually everywhere in the world. Many socio-economic activities are now subject to the use of computer and ICT devices although we don't really recognize it. Various socio economic activities supported by digital devices leave digital records, and a myriad of these records becomes what we call'big data'. Big data differ from conventional data we have collected and managed in that it holds more detailed information of socio-economic activities. Thus, they offer not only new insight for our society and but also new opportunity for policy analysis. However, the use of big data requires development of new methods and tools as well as consideration of institutional issues such as privacy. The goals of this research are twofold. Firstly, it aims to understand the opportunities and challenges of using big data for planning support. Big data indeed is a big sum of microscopic and dynamic data, and this challenges conventional analytical methods and planning support tools. Secondly, it seeks to suggest ways of visualizing such spatial big data for planning support. In this regards, this study attempts to develop a dynamic visualization model and conducts an experimental case study with mobile phone big data for the Jeju island. Since the off-the-shelf commercial software for the analysis of spatial big data is not yet commonly available, the roles of open source software and computer programming are important. This research presents a pilot model of dynamic visualization for spatial big data, as well as results from them. Then, the study concludes with future studies and implications to promote the use of spatial big data in urban planning field.
Keywords
Spatial Big Data; Big Data Analytics; Big Data Visualization; Big Data; Planning Supp;
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