阿根廷森林火灾数据可视化应用指南

M. Reynoso, M. Diván
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引用次数: 2

摘要

如今,数据呈现出前所未有的动态变化。它们有持续的增长,这与用户输入的数据和来自系统的新数据的永久生成有关。在这种情况下,数据可视化发挥了突出的作用,因为它允许综合地交流高数据量,使最终用户能够理解它们。这个方面在任何组织的决策过程中都是一个关键的资产,因为它包含了动态并促进了不同类型的分析。因此,使用指南可以指导一个过程,特别是与数据可视化相关的过程。在这项工作中,描述了一般的可视化过程,以便将用户需求和草图融合的方式形象化。接下来,可视化设计描述了使用软件实现草图的方式。作为贡献,这里展示了使用2011年至2017年阿根廷森林火灾数据集的应用案例,以作为指南使用的参考。该案例使用Qlik Sense Cloud实现,结合了平台中包含的一组动态行为,例如在地图上进行缩放或在视觉组件之间共享选择的可能性。所使用的数据可以在datos.gob上免费获得。阿根廷政府的开放数据平台。该案例允许以一致的方式举例说明指南的使用、其适用性和所选择的数据可视化策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying Data Visualization Guideline on Forest Fires in Argentina
Nowadays, the data has a dynamic never seen before. They have continuous growth which is associated with the permanent generation from both data entered by users and new data derived from systems. In this context, the data visualization plays a highlighted role because it allows synthetically communicating high-data volume making them understandable for the End-user. This aspect constitutes a key asset throughout the decision-making process in any organization because incorporates dynamism and fosters different kinds of analysis. For that reason, the use of guidelines allows tutoring a process and in particular, those related to data visualizations. In this work, the general visualization process is described in order to schematize the way in which user requirements and sketches converge. Next, the visualization design describes the way in which the sketches could be implemented using the software. As a contribution, here an application case using the forest’s fires dataset of Argentina between 2011 and 2017 is shown in order to serve as a reference for the guidelines’ using. The case was implemented using Qlik Sense Cloud, incorporating a set of dynamic behaviors included in the platform, such as the possibility of making zoom on maps or sharing the selections between visual components. The employed data are freely available on datos.gob.ar, the Open-data platform of Argentina’s Government. The case allows exemplifying the use of guidelines, its applicability, and the chosen data visualization strategy in a consistent way.
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