Skip to content
Simulate realistic trajectory data seen through sporadic reporting
Branch: master
Clone or download
Latest commit 430cda5 Feb 7, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
LICENSE Create LICENSE (#1) Feb 6, 2019
README.md Update README.md Feb 1, 2019
RabbitProfile.jpg.jpg Add files via upload May 23, 2018
RetroPreferential-2018.pdf
RetroPreferentialSporadicSimulator.nb Add files via upload May 23, 2018
RetroPreferentialSporadicSimulator.py Add files via upload May 23, 2018
RetroPreferentialSporadicSimulatorCopy.pdf

README.md

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

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

Documentation

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

You can’t perform that action at this time.