teetool

a package to support with the statistical analysis of trajectory data -- helpful at determining the probability of clusters (collection) of trajectories colliding

purely spatial, ignores temporal effects

publication is available at http://doi.org/10.5334/jors.163

documentation is available at https://willemeerland.github.io/teetool/

setup the environment in Linux

• download & install Anaconda from https://www.continuum.io/download
• open terminal
• navigate to Teetool directory

conda create -n teetool python=2.7 pytest pytest-cov mayavi numpy scipy matplotlib pyside

source activate teetool

pip install .

setup the environment in macOS

• download & install Anaconda from https://www.continuum.io/download
• open terminal
• navigate to Teetool directory

conda create -n teetool python=2.7 pytest pytest-cov mayavi numpy scipy matplotlib

source activate teetool

pip install .

setup the environment in Windows

• download & install Anaconda from https://www.continuum.io/download
• open 'Anaconda prompt'
• navigate to Teetool directory

conda create -n teetool python=2.7 pytest pytest-cov mayavi numpy scipy matplotlib pyside

activate teetool

set QT_API=pyside

pip install .

run tests

py.test

run tests, including coverage report

(cd test ; py.test -v --cov-report html --cov=teetool)

run examples via Jupyter notebook

pip install .[example]

jupyter notebook

• find example/ in browser and run files in order