Felipe Leal Valentim

Performing trajectory analysis from 3D data involves several steps, depending on the specific goals and the nature of your data. Following are the general steps and guidelines to get started:

• Define Objectives & Scope
• Data Collection & Preparation
• Choose Appropriate Tools and Techniques
• Perform Trajectory Analysis
• Visualize the Results
• Interpretation and Report Findings

Tools, Techniques, and Libraries

• Clustering: K-Means or DBSCAN
• Tools & Libraries: MATLAB, Matplotlib, Plotly, SciPy, MovingPandas, Trajectopy, and Mayavi
• Algorithms: Dijkstra’s algorithm for path-finding

You can further explore the following resources:

• Learning Trajectories: https://www.learningtrajectories.org/learning_trajectories
• gereon-t/trajectopy: Trajectopy - Trajectory Evaluation in Python (github.com)
• movingpandas/movingpandas: Movement trajectory classes and functions built on top of GeoPandas (github.com)