Examples

To help you get started using Tracktable we have included demonstrations of its various capabilities, Python and C++ alike, and sample data to experiment with. C++ examples are in the source code distribution in the directory tracktable/Examples. Python examples, tutorials and demos are available, from the Pip package, Anaconda package and source code distribution in the directory src/Python/tracktable/examples, as standalone Python scripts and Jupyter notebooks.

C++ Examples

• Assemble Example
  • Example Source Files
  • Command Line Interface
• Classify Example
  • Example Source Files
  • Command Line Interface
• Cluster Example
  • Example Source Files
  • Command Line Interface
• Filter Example
  • Example Source Files
  • Command Line Interface
• Find ID Example
  • Example Source Files
  • Command Line Interface
• Portal Example
  • Example Source Files
  • Command Line Interface
• Predict Example
  • Example Source Files
  • Command Line Interface
• Reduce Example
  • Example Source Files
  • Command Line Interface
• Sample Project Example
• Serialize Example
  • Example Source Files
  • Command Line Interface

Python Examples

• Rendering a Heat Map from Points
• Rendering Trajectories from Points on a Map
  • Terrestrial Trajectory Map
  • Cartesian Trajectory Map
• Making Movies of Trajectories
  • Terrestrial Movie
  • Cartesian Movie
  • Using Parallel Processing

Jupyter Notebook Examples

Note

We include several Jupyter notebooks that demonstrate and illustrate Tracktable’s capabilities. Each Jupyter notebook page listed below is an actual Jupyter notebook, including output, embedded directly in the documention.

Tutorials

Tutorial Flow

Note

There is a bug in our Sphinx build. The notebooks should appear under this note. You can download the pre-rendered notebooks from our Releases page on GitHub starting with Tracktable 1.7.2.

• Tutorial 1: How to Create Trajectory Points from a Delimited File
• Tutorial 2: How to Create Trajectories from a Delimited File
• Tutorial 3: How to Write Trajectories to a .traj File
• Tutorial 4: How to Read .traj Files
• Tutorial 5-A: Interactive Trajectory Visualization
• Tutorial 5-B: Static Trajectory Visualization
• Tutorial 5-C: Heatmap Trajectory Visualization
• Tutorial 5-D: Trajectory Visualization For Print
• Tutorial 5-E: Airport & Port Visualization
• Tutorial 5-F: Shoreline, River & Border Visualization
• Tutorial 6: Filtering Trajectories

Analytic Demos

• Demo 1: Anomaly Detection using Passersby
• Demo 2: Detecting “Boxes”
• Demo 3: Travel Prediction Using Alignment
• Demo 4: Detecting Rendezvous with DBSCAN
• Demo 5: Clustering Trajectories by Shape

If you wish to modify or run the notebooks locally there are three ways to get them:

1. Clone Tracktable’s Github repository: https://github.com/sandialabs/tracktable.

2. Download Tracktable’s source code from https://tracktable.sandia.gov/downloads/source_code.html (starting with Tracktable 1.3).

3. If you have Tracktable installed, the function tracktable.examples.copy_example_notebooks will move the notebooks to a place of your choosing.

   • Detailed information about copy_example_notebooks can be found here: tracktable.examples module