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NTIS 바로가기한국측량학회지 = Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, v.37 no.6, 2019년, pp.417 - 426
이건우 (Dept. of Geoinformation Engineering, Sejong University) , 염재홍 (Dept. of Environment, Energy & Geoinformatics, Sejong University)
Conventional visualization of PM (Particulate Matter)10 flows applies superimposition of concentration distribution maps and wind field maps. This method is efficient for small scale maps where only macro flow trends are of interest. However, in the case of urban areas, local flows are difficult to ...
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핵심어 | 질문 | 논문에서 추출한 답변 |
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시각화의 장점은? | , 1999). 시각화는 데이터 탐색 도구로써 전반적인 경향뿐만 아니라 예상하지 못한 패턴 같은 데이터에 숨어있는 정보 발견에 중요한 역할을 한다(Keim et al., 2010). | |
미세먼지 시공간 특성을 이해하기 위한 효과적인 방법 중 하나는? | 미세먼지 자료는 시간과 공간 정보를 포함하고 있으므로 시공간적 특성을 이해하는 것이 중요하다. 미세먼지 시공간 특성을 이해하기 위한 효과적인 방법 중 하나가 시공간 시각화 기술이다. 시각화는 인간 인지능력을 증폭시키기 위해 컴퓨터를 이용한 대화식 시각적 표현을 사용하는 것이며 의사결정을 위한 통찰을 목적으로 한다(Card et al. | |
바람장을 이용한 미세먼지 분포 변화 시각화 방법의 단점은? | 따라서 바람장을 이용한 미세먼지 분포 변화 시각화 방법은 국가 단위 대규모 변화를 표현하는데 적합하지만, 도시 단위 이하 국지적 변화는 바람장과 미세먼지 분포 변화의 관련성이 일정하지 않으므로 적용이 어렵다. 또한 이 방법은 바람이라는 추가적인 정보가 필요하다는 단점이 있다. 이러한 한계는 여러 시점의 미세먼지 분포에서 변화 패턴을 직접 추출하고 흐름으로 시각화하여 개선한다. |
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