ScholarWorks@숙명여자대학교

초록

Recently, as various sensing technologies for temperature, humidity, fine dust, air pollutant, and noise are developed, a lot of environmental sensing data for various regions in a city is being actively collected. In this paper, we propose a framework to find outlying regions in the city that show very different patterns from the other regions using urban environmental sensing data. To verify the effectiveness of the proposed framework, we also present a real example of finding outlying regions in Daejeon, Daegu, and Busan, where fine dust occurs very little or very high relative to the amount of air pollutant. We hope that outlying regions found by the proposed framework can provide useful information for improving the urban environment.

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