A Survey Model of Big Data by Focusing on the Atmospheric Data Analysis

In the Republic of Korea, the building-type fish and agricultural farms are expected to emerge in the town areas or suburbs. Developed farming technologies that employ water recirculation equipments or LED lights are becoming are becoming more common and convenient. However, there are still some requirements required to successfully operate the farms and these requirements must be identified through analyses of various factors surrounding farms. This study conducts a research to obtain the analytical results and investigates their characteristics through visualization of the atmospheric environment data of Gangnam District provided by the Seoul Metropolitans Government to perform modeling of the preliminary big data analysis against the pollutants as a countermeasure to the bioaccumulation of heavy metals in the agricultural and marine products. The basic research was performed by visualizing the data obtained from the univariate, simple and multiple regression analyses for easy viewing, finding the a log-transformed model, and modeling overall characteristics through categorization of the explanatory variables. We hope that this research will assist the farmers in selecting their farming locations.