spencerx / fractalrabbit

Simulate realistic trajectory data seen through sporadic reporting

FRACTALRABBIT

The FRACTALRABBIT stochastic mobility simulator creates realistic synthetic sporadic waypoint data sets. It consist of three tiers, each based on new stochastic models:

(1) An Agoraphobic Point Process generates a set V of space points, whose limit is a random fractal, representing sites that could be visited.

(2) A Retro-preferential Process generates a trajectory X through V , with strategic homing and self-reinforcing site fidelity as observed in human/animal behavior.

(3) A Sporadic Reporting Process models time points T at which the trajectory X is observed, with bursts of reports and heavy tailed inter-event times.

Table of contents

• Quick start 2.0- Status
• What's included
• Bugs and feature requests
• Documentation
• Contributing
• Community
• Versioning
• Creators
• Copyright and license

Quick start

Several quick start options are available:

Mathematica Notebook

Text version

Python Version

Status

• (2017 VERSIONS) single trajectory models
• (COMING IN 2019) Java version, for multiple paths

What's included

• Mathematica Notebook (2017), and pdf printout, for single trajectory
• Python implementation (2017), for single trajectory

Bugs and feature requests

• Have a bug or a feature request? Email [email protected]

Documentation

• See Wiki.

Contributing

• New implementations of the three underlying models described in the technical report are welcome.

Community

• TBA

Versioning

• Will begin with the Java release.

Creators

R. W. R. Darling http://probabilist.us

Copyright and license

Apache License 2.0