Welcome to the Trajectory Analysis Repository, a comprehensive resource dedicated to the exploration, understanding, and application of trajectory analysis in various fields. This repository serves as a central hub for researchers, data scientists, statisticians, and anyone interested in the study and analysis of dynamic patterns over time.
Welcome to the Trajectory Analysis Repository, a comprehensive resource dedicated to the exploration, understanding, and application of trajectory analysis in various fields. This repository serves as a central hub for researchers, data scientists, statisticians, and anyone interested in the study and analysis of dynamic patterns over time.
- Data Generation Scripts: Tools for creating synthetic datasets tailored for trajectory analysis, enabling users to test, compare, and improve trajectory analysis methods.
- Analysis Algorithms: A collection of algorithms and models used in trajectory analysis, including Group-Based Trajectory Modeling (GBTM - Please consult: https://link.springer.com/article/10.1007/s10940-010-9113-7), growth curve analysis, and other state-of-the-art techniques.
- Visualization Tools: Scripts and tools for generating insightful visualizations of trajectories, aiding in the interpretation and presentation of temporal patterns and trends.
- Case Studies and Examples: Real-world examples and case studies demonstrating the application of trajectory analysis in various domains such as healthcare, finance, and social sciences.
- Documentation and Tutorials: Comprehensive guides and tutorials to help users understand the fundamentals of trajectory analysis and how to apply these techniques using the tools provided in this repository.
- Community Contributions: A collaborative space where users can contribute their own tools, scripts, or findings related to trajectory analysis.
This repository aims to:
- Facilitate the exchange of knowledge and tools in the field of trajectory analysis.
- Support learning and development for both newcomers and experts in the field.
- Foster a community around the study and advancement of trajectory analysis methodologies.
- Clone or Download the Repository: Get started by cloning the repository or downloading its contents.
- Explore the Documentation: Familiarize yourself with the concepts and tools available by browsing through the documentation.
- Try Out Examples: Run example scripts and case studies to see trajectory analysis in action.
- Contribute: Contributions are welcome! Whether it's a new feature, a bug fix, or an interesting case study, your input is valuable.
We encourage collaboration and contributions from the community. If you have an idea, tool, or research that you believe would enrich this repository, please feel free to contribute. Check out our contribution guidelines for more information on making submissions.
This repository is open-sourced under MIT LICENSE. Please see the LICENSE file for more details.
For any questions or suggestions regarding this repository, feel free to contact awa.diop@statharbor.com.