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4篇 您的检索式:作者名="Martin Tomko"
    题名 作者 年代 出处 被引量
1Experiential hierarchies of streets显示文摘Martin Tomko Stephan Winter Christophe Claramunt 2007Computers Environment and Urban Systems2007,,1:1
2Experiential Hierarchies of Streets, Computers显示文摘Martin Tomko Stephan Winter Christophe Claramunt 2008Environment and Urban Systems2008,32,1:1
3Experiential Hierarchies of Streets 显示文摘Martin Tomko Stephan Winter and Christophe Claramunt 2008Computers Environment and Urban Systems2008,32,1:1
4Modeling coordinated multiple views of heterogeneous data cubes for urban visual analytics显示文摘With the explosion of digital data,the need for advanced visual analytics,including coordinated multiple views(CMV),is rapidly increasing.CMV enable users to discover patterns and examine relationships across multiple visualizations of one or multiple datasets.CMV have been implemented in a web-based environment through the Australian Urban Research Infrastructure Network(AURIN)project.AURIN offers a platform providing seamless and secure access to an extensive range of distributed urban datasets across Australia.Visual exploration of these datasets is essential to support research endeavors.This paper focuses on the challenges in dealing with complexity and multidimensionality of datasets used in CMV.We rely on the concept of multidimensional data cubes as the theoretical framework for coordination across visualizations.Using the concept of data cubes and hierarchical dimensions,we present strategies to automatically build render groups.This provides an implicit coordination based on cube structures and a framework to establish links between a dataset with its aggregates in a one-to-many fashion.The CMV approach is demonstrated using aggregate-level data,which is provided through federated data services.The paper discusses the issues around our CMV implementation and concludes by reflecting on the challenges in supporting spatio-temporal urban data exploration.Ivo Widjaja Patrizia Russo Chris Pettit Richard Sinnott Martin Tomko 2015International Journal of Digital Earth2015,8,7:0
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