燕山大学学报
燕山大學學報
연산대학학보
Journal of Yanshan University
2015年
3期
276-282
,共7页
聂俊岚%刘益萌%陈贺敏
聶俊嵐%劉益萌%陳賀敏
섭준람%류익맹%진하민
2.5维面%非线性数据映射%GPU%实时交互%可视分析
2.5維麵%非線性數據映射%GPU%實時交互%可視分析
2.5유면%비선성수거영사%GPU%실시교호%가시분석
2.5 dimensional surfaces%nonlinear data mapping%GPU%real-time interaction%visual analysis
为解决传统基于2.5维面的数据分析手段单一,未充分结合地理环境信息,难以快速实时获得任意区域气象变化规律的问题,提出非线性数据映射的2.5维面可视化方法,经过坐标转换应用至球面并利用GPU进行快速绘制;从区域和时域两方面进行全球气象数据可视分析:通过用户交互提取任意区域信息,定量展示分析结果并进行反馈;引入时间维展现选定区域气象数据变化趋势,并用不同表现形式进行统计分析。实验表明,本文可视化效果及可视分析方法能直观清晰地表达和分析气象数据的时间和空间关系,直观的视觉效果、实时交互的手段有助于气象预测和数据分析。
為解決傳統基于2.5維麵的數據分析手段單一,未充分結閤地理環境信息,難以快速實時穫得任意區域氣象變化規律的問題,提齣非線性數據映射的2.5維麵可視化方法,經過坐標轉換應用至毬麵併利用GPU進行快速繪製;從區域和時域兩方麵進行全毬氣象數據可視分析:通過用戶交互提取任意區域信息,定量展示分析結果併進行反饋;引入時間維展現選定區域氣象數據變化趨勢,併用不同錶現形式進行統計分析。實驗錶明,本文可視化效果及可視分析方法能直觀清晰地錶達和分析氣象數據的時間和空間關繫,直觀的視覺效果、實時交互的手段有助于氣象預測和數據分析。
위해결전통기우2.5유면적수거분석수단단일,미충분결합지리배경신식,난이쾌속실시획득임의구역기상변화규률적문제,제출비선성수거영사적2.5유면가시화방법,경과좌표전환응용지구면병이용GPU진행쾌속회제;종구역화시역량방면진행전구기상수거가시분석:통과용호교호제취임의구역신식,정량전시분석결과병진행반궤;인입시간유전현선정구역기상수거변화추세,병용불동표현형식진행통계분석。실험표명,본문가시화효과급가시분석방법능직관청석지표체화분석기상수거적시간화공간관계,직관적시각효과、실시교호적수단유조우기상예측화수거분석。
The traditional data analysis methods based on 2.5 dimensional surfaces are singularity not fully integrated with geograph?ical information and difficult to obtain the change characteristics and laws of meteorological data in any region.To solve the problem the nonlinear data mapping method in 2.5 dimensional surface visualization is proposed.The data is applied to the sphere after coordi?nate transformation and then fast rendered with GPU.The global meteorological data visualization is analyzed from the region and the time domain the data analysis results of the regional information which is extracted interactively are displayed and reversely displayed quantitatively.The time dimension is introduced to display the mutative trend of meteorological data in selected area and the results of statistical analysis are showed in different ways.The experimental results show that visualization and the visual analysis methods in this paper can express and analyze the relation between time and space of meteorological data intuitively and clearly.Furthermore the intui?tive visual effects and real?time interactive means make the meteorological forecast and data analysis more easier.