MATLAB Implementation for Dynamic Current Vector Visualization Across Time and Location

In this article, we utilize MATLAB programming language to achieve our objectives. MATLAB is a widely-used high-level programming language extensively applied in scientific computing and engineering applications. The language efficiently handles numerical computations, graphical processing, symbolic mathematics, and data visualization tasks. Key MATLAB functions for current vector plotting include quiver() for 2D vector fields and quiver3() for 3D representations, which can be animated using movie() functions or animatedline() objects for temporal evolution. MATLAB's built-in mapping toolbox provides essential tools for geographical data handling through functions like geoshow() and axesm() for proper coordinate system projections. Additionally, MATLAB offers numerous specialized toolboxes such as the Statistics and Machine Learning Toolbox for data analysis, Signal Processing Toolbox for temporal data filtering, and Control System Toolbox for dynamic system modeling. The implementation typically involves reading spatiotemporal current data, preprocessing with meshgrid() for spatial coordinates, calculating vector components, and creating animated sequences using for-loops with pause() commands for time stepping. This comprehensive ecosystem makes MATLAB an optimal choice for effectively achieving our goals in current visualization and analysis.