Tobacco Spatial Data Intelligent Visual Analysis

A multi-module visualization framework is designed and a visual analysis system called TobaccoGeoVis is implemented to analyze tobacco spatial data efficiently. The proposed system provides a visualization technology for overlaying multiple graphics on a map to enrich the form of tobacco spatial data visualization. The system also adopts artificial intelligence algorithms and multiview linkage interactive methods and provides flexible data-attribute field mapping and graphical parameter configuration to analyze tobacco spatial data. We demonstrated that the system is userfriendly and the applied visualization methods are effective using cases selected from the three sets of data.

Automated summary

This study presents a multi-module visualization framework and implements a visual analysis system called TobaccoGeoVis for efficient analysis of tobacco spatial data. The system provides a visualization technology for overlaying multiple graphics on a map and adopts artificial intelligence algorithms and multiview linkage interactive methods, enabling flexible data-attribute field mapping and graphical parameter configuration.