Interpreting map usage patterns using geovisual analytics and spatiotemporal clustering

作     者：Gavin McArdle Ali Tahir Michela Bertolotto 

作者机构：National Center for GeocomputationNational University of IrelandMaynoothIreland Institute of Geographical Information SystemsSchool of Civil and Environmental EngineeringNational University of Sciences and TechnologyIslamabadPakistan School of Computer Science and InformaticsUniversity College DublinDublinIreland 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2015年第8卷第8期

页      面：599-622页

核心收录：

学科分类：08[工学] 0708[理学-地球物理学] 0835[工学-软件工程] 0704[理学-天文学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Research presented in this paper was funded by a Strategic Research Cluster grant[07/SRC/I1168]by Science Foundation Ireland under the National Development Plan.The authors gratefully acknowledge this support 

主　　题：geovisual analytics spatio-temporal clustering behavioural clustering map personalisation digital globe 

摘      要：Extracting meaningful information from the growing quantity of spatial data is a *** issues are particularly evident with spatio-temporal data describing *** data typically corresponds to movement of humans,animals and machines in the physical *** article considers a special form of movement data generated through human–computer interactions with online web *** a user interacts with a web map using a mouse as a pointing tool,invisible trajectories are *** examining the spatial features on the map where the mouse cursor visits,a user’s interests and experience can be *** analyse this valuable information,we have developed a geovisual analysis tool which provides a rich insight into such user *** focus of this paper is on a clustering technique which we apply to mouse trajectories to group trajectories with similar behavioural *** experiments reveal that it is possible to identify experienced and novice users of web mapping environments using an incremental clustering *** results can be used to provide personalised map interfaces to users and provide appropriate interventions for completing spatial tasks.