CAJ | 학술논문

通过分析某城市空气质量数值预报数据的时空组织结构,构建出了多维空间数据的整体框架.论述了几种插值方法的优缺点,在比较的基础上,将新的紧支径向基函数局部径向点插值方法引入到多维数据处理中,在空间、时间维度上时数据进行局部插值,从而实现数据的重构.以新的基于封装回调函数的多线程方法实现了大规模空气质量预报数据的三维动态可视化.实验结果表明,以上方法应用于大规模教据可视化时,其质量和运算速度都能满足实际需要.
통과분석모성시공기질량수치예보수거적시공조직결구,구건출료다유공간수거적정체광가.논술료궤충삽치방법적우결점,재비교적기출상,장신적긴지경향기함수국부경향점삽치방법인입도다유수거처리중,재공간、시간유도상시수거진행국부삽치,종이실현수거적중구.이신적기우봉장회조함수적다선정방법실현료대규모공기질량예보수거적삼유동태가시화.실험결과표명,이상방법응용우대규모교거가시화시,기질량화운산속도도능만족실제수요.
This paper analyzes the organization structure for numerical forecasting data of the city air quality in space and in time,and constructs an overall frame for the multi-dimensional space data.The superiority and insufficiency are elaborated for several kinds of interpolation methods.Based on comparison,it has introduced the method of partial radial direction interpolation based on compactly supported radial basis functions into manage of multi-dimensional data.By the partial interpolation in the space dimension and in the time dimension,it has realized the restructuring of the multi-dimensional data.And it has realized the dynamic visualization in three dimensions for large-scale forecasting data of air quality based on the new multi-thread method with encapsulation of call-back functions.Experimental results demonstrate that the above method can satisfy the actual need of quality and the operating speed regarding large-scale data's visualization aspect.