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作 者:SUN Guodao ZHAI Shuangpo LI Si LIANG Ronghua
机构地区:[1]College of Information Engineering,Zhejiang University of Technology
出 处:《Chinese Journal of Electronics》2018年第5期927-933,共7页电子学报(英文版)
基 金:supported by the National Natural Science Foundation of China(No.61602409);Zhejiang Provincial NSFC(No.LR14F020002);joint project Data-Driven Intelligent Transportation between China and Europe announced by the Ministry of Science and Technology of China(No.SQ2013ZOC200020);the Open Projects Program of Key Laboratory of Ministry of Public Security based on Zhejiang Police College(No.2016DSJSYS003)
摘 要:Spatial visualization has always been a primary part of information visualization and analysis, especially in the era of big data. The map, the most fundamental components of spatial visualization, is a kind of simple, intuitive and popular way to show the visualization of geographic information. The traditional map is not convenient to overlay complex elements due to its own complex filled color and the actual geographical boundaries. We aim to cut off dusty foliage of the maps, and deliver the main structure of the map visualization result.We proposes RectMap, a boundary-reserved map deformation approach for visualizing geographical map, which can maintain the mind map of original map. The proposed approach integrate traditional Douglas-Peucker algorithm and our Gridding algorithm. The Douglas-Peucker algorithm generates a simplified map, and the Gridding algorithm optimizes the initial simplified map. Case study and user study are further conducted to demonstrate the effectiveness and usefulness of the new-style map.Spatial visualization has always been a primary part of information visualization and analysis, especially in the era of big data. The map, the most fundamental components of spatial visualization, is a kind of simple, intuitive and popular way to show the visualization of geographic information. The traditional map is not convenient to overlay complex elements due to its own complex filled color and the actual geographical boundaries. We aim to cut off dusty foliage of the maps, and deliver the main structure of the map visualization result.We proposes RectMap, a boundary-reserved map deformation approach for visualizing geographical map, which can maintain the mind map of original map. The proposed approach integrate traditional Douglas-Peucker algorithm and our Gridding algorithm. The Douglas-Peucker algorithm generates a simplified map, and the Gridding algorithm optimizes the initial simplified map. Case study and user study are further conducted to demonstrate the effectiveness and usefulness of the new-style map.
关 键 词:Map form transformation Rect Map Map generalization GRIDDING
分 类 号:P208[天文地球—地图制图学与地理信息工程] P9[天文地球—测绘科学与技术]
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