Interactive Trajectory Star Coordinates i-tStar and Its Extension i-tStar(3D)  

作　　者：Jing He Haonan Chen Lingxiao Li Yebin Zou 

机构地区：[1]Institute for Advanced Studies in Humanities and Social Sciences,Beihang University,Beijing,100083,China [2]Beijing Key Laboratory of Urban Spatial Information Engineering,Beijing,100000,China [3]College of Geoscience and Surveying Engineering,China University of Mining and Technology-Beijing,Beijing,100083,China [4]School of Literature,Capital Normal University,Beijing,100089,China [5]School of Civil and Hydraulic Engineering,Ningxia University,Yinchuan,750021,China

出　　处：《Computer Modeling in Engineering & Sciences》2023年第4期211-237,共27页工程与科学中的计算机建模（英文）

基　　金：Beijing Key Laboratory of Urban Spatial Information Engineering,Grant No.20220105;Ningxia Natural Science Foundation,No.2021AAC03060。

摘　　要：There are many sources of geographic big data,and most of them come from heterogeneous environments.The data sources obtained in this case contain attribute information of different spatial scales,different time scales and different complexity levels.It is worth noting that the emergence of new high-dimensional trajectory data types and the increasing number of details are becoming more difficult.In this case,visualizing high-dimensional spatiotemporal trajectory data is extremely challenging.Therefore,i-tStar and its extension i-tStar(3D)proposed,a trajectory behavior feature formoving objects that are integrated into a view with less effort to display and extract spatiotemporal conditions,and evaluate our approach through case studies of an open-pit mine truck dataset.The experimental results show that this method is easier to mine the interaction behavior of multi-attribute trajectory data and the correlation and influence of various indicators of moving objects.

关 键 词：Trajectory data MULTIDIMENSIONAL MULTIVARIATE visualization technology behavioral characteristics 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]