DEVELOPING VISUALIZATION TECHNIQUES SUITABLE FOR TIME SERIES ENVIRONMENTAL DATA
Recently, big data analysis techniques have been actively studied in various fields. In this study, we are going to analyze big data analysis about environment information such as fine dust which is getting serious recently. In particular, we present what is the visualization technique based on big data analysis suitable for time series environmental data such as fine dust and precipitation. By observing and interpreting only visualized environmental information, anyone can easily intuitively understand the overall appearance of environmental information and change trends. It is expected that we will be able to derive a big data analysis model for environmental data by knowing the pattern of characteristics of environmental data and improving understanding.
big data analysis, environmental data, fine dust, precipitation, time series, visualization.