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Visual analysis of occurrence and control of forest pests with multi-view collaboration

机译:多视角协作可视化分析森林有害生物的发生与控制

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摘要

Forest pests are an important aspect of forest pest prevention and control work. However, it is difficult for forest pest researchers to gain a comprehensive understanding of the occurrence and control of pests using traditional statistical methods. It is a considerable challenge to help researchers to find useful information from pest occurrence and control data. Combining features of forest pest occurrence, such as timing, geography, hierarchy, disaster grade and pest species, we propose a multi-view collaborative hybrid visual analysis method to analyze the occurrence and control of forest pests from multiple angles. On this basis, we design and realize a multi-view collaborative hybrid visual analysis system for the occurrence and control of forest pests. Via case studies on the test dataset using the developed system, we complete an omni-directional analysis of the overall situation of forest pests, the overall situation of a certain pest species, the overall situation of pests in a certain region, and the occurrence of a certain pest in a certain region. The experimental results show that the visualization technologies and interactive technologies used in the paper can effectively assist researchers in the analysis of related data, and it is also demonstrated that the system is user-friendly and that the applied visualization methods are effective.
机译:森林病虫害是森林病虫害防治工作的重要方面。但是,森林有害生物研究人员很难使用传统的统计方法全面了解有害生物的发生和控制。帮助研究人员从有害生物的发生和控制数据中找到有用的信息是一项巨大的挑战。结合森林有害生物发生的时间,地理,等级,灾害等级和有害生物种类等特点,提出了一种多视角协同混合视觉分析方法,从多个角度分析了森林有害生物的发生和防治。在此基础上,我们设计并实现了一种用于森林害虫发生和防治的多视图协同混合视觉分析系统。通过使用开发的系统对测试数据集进行案例研究,我们对森林有害生物的总体情况,某些有害生物的总体情况,某个地区的有害生物的总体情况以及森林的发生情况进行了全方位分析。某个地区的某种害虫。实验结果表明,本文所使用的可视化技术和交互技术可以有效地协助研究人员进行相关数据的分析,并且证明该系统是用户友好的,并且所应用的可视化方法是有效的。

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