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

Abstract

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.