Mining Analysis of the Spatiotemporal Evolution Characteristics of Rapeseed Production Layout Based on Big Data Visualization

Abstract As one of China's important oilseed crops, the optimization of rapeseed production layout holds significant importance for the restructuring of the country's agricultural industry. This study employs a large-scale data mining and analysis model to quantify the evolution of rapeseed production centroid in both the entire nation and Hubei Province. Leveraging the visualization tool Qlik Sense for thematic design, two themes emerge: "Spatiotemporal Evolution Characteristics of National Rapeseed Production Layout" and "Spatiotemporal Evolution Characteristics of Rapeseed Production Layout in Hubei Province". These visualization themes feature robust interactive effects, enabling a flexible presentation of the spatiotemporal evolution characteristics of the rapeseed production layout. By examining the migration paths, magnitudes, and directions of production centroids, a quantitative exploration of the dynamic spatiotemporal evolution patterns of rapeseed production on both national and provincial scales is conducted, providing foundational support for decision-making concerning the spatial layout of rapeseed production.