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AR6 대응 시나리오 기반 행정구역 전망정보 자동생산 방안 연구 KCI 등재
Study on the Selection of Automatic Vectorizing Methods to Convert the Cell-based Grid Climate Projection Data to the Polygon-based Ones for Various Administrative Districts Preparing the AR6 Climate Change scenarios
pp.113-127
Cell based grid data of future temperature and precipitation produced with four RCP scenarios were converted into polygon based data for administrative districts using three simple vectorizing methods; (1) KMA Dong-Nae forecast point based, (2) areal ratio based and (3) central point based methods. The results were compared the existed KMA areal weight based methods to identify which methods were more efficient than others. Simple statistical methods such descriptive statistics, correlation coefficient, and Bland & Altman plots (B&A) were used to compare agreements between them. When central point and areal ratio based methods were applied to administrative districts of Eup-Myeon-Dong or some Gus, NULLs were found because their sizes are smaller than the cell of 1x1 km. Therefore, KMA Dong-Nae forecast point based methods were better when sizes of administrative districts are smaller than the cell size. For Do and Metropolitan cities, there were no greater differences among methods except for the KMA Dong- Nae forecast points. The greater the areas of administrative districts the more distortions from the KMA Dong-Nae forecast points because only KMA Dong-Nae forecast one point were used for the calculation. In conclusion, the KMA Dong-Nae forecast point based method was appropriate when sizes of administrative districts are smaller than the grid cell. For the greater areal sizes such as Do and Metropolitan cities, areal ratio and central point based methods were better.
1. 서론
2. 자료 및 연구방법
1) 자료와 연구지역
3. 연구결과
1) 광역시도 기반 월자료 비교
2) 시군구 기반 월자료 비교
3) 읍면동 기반 월자료 비교
4. 요약, 결론 및 제언
References
