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首页> 外文期刊>Journal of Visual Languages & Computing >Exploratory spatio-temporal visualization: an analytical review
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Exploratory spatio-temporal visualization: an analytical review

机译:探索性的时空可视化:分析性回顾

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Current software tools for visualization of spatio-temporal data, on the one hand, utilize the opportunities provided by modern computer technologies, on the other hand, incorporate the legacy from the conventional cartography. We have considered existing visualization-based techniques for exploratory analysis of spatio-temporal data from two perspectives: (1) what types of spatio-temporal data they are applicable to; (2) what exploratory tasks they can potentially support. The technique investigation has been based on an operational typology of spatio-temporal data and analytical tasks we specially devised for this purpose. The result of the study is a structured inventory of existing exploratory techniques related to the types of data and tasks they are appropriate for. This result is potentially helpful for data analysts―users of geovisualization tools: it provides guidelines for selection of proper exploratory techniques depending on the characteristics of data to analyze and the goals of analysis. At the same time the inventory as well as the suggested typology of tasks could be useful for tool designers and developers of various domain-specific geovisualization applications. The designers can, on the one hand, see what task types are insufficiently supported by the existing tools and direct their creative activities towards filling the gaps, on the other hand, use the techniques described as basic elements for building new, more sophisticated ones. The application developers can, on the one hand, use the task and data typology in the analysis of potential user needs, on the other hand, appropriately select and combine existing tools in order to satisfy these needs.
机译:当前用于时空数据可视化的软件工具,一方面,利用了现代计算机技术提供的机会,另一方面,融合了传统制图技术的传统。我们从两个角度考虑了现有的基于可视化的时空数据探索性分析技术:(1)它们适用于什么类型的时空数据; (2)他们可以支持哪些探索性任务。该技术研究基于时空数据和我们为此目的专门设计的分析任务的操作类型。研究的结果是对现有探索性技术的结构化清单,这些探索性技术与它们适合的数据类型和任务有关。该结果可能对数据分析人员(地理可视化工具的用户)有所帮助:它提供了根据要分析的数据的特征和分析目标来选择适当的探索性技术的指南。同时,清单以及建议的任务类型可能对工具设计人员和各种特定于域的地理可视化应用程序的开发人员很有用。设计人员一方面可以查看现有工具不足以支持哪些任务类型,并将其创造性活动引导到填补空白,另一方面,可以使用被描述为基本要素的技术来构建新的,更复杂的技术。应用程序开发人员一方面可以在分析潜在的用户需求时使用任务和数据类型,另一方面可以适当地选择并组合现有工具以满足这些需求。

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