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stpredict is designed to apply forecasting methods on spatio-temporal data to predict the values of a target variable in the future time points based on the historical values of the data features. The main stages of the modeling process are implemented in this package including:

• Data preprocessing

• Data partitioning

• Feature selection

• Model selection

• Model evaluation

• Prediction

Developers

Complex Network and Data Analysis Lab (cndalab)

Authors

Arash Marioriyad, Maryam Meghdadi, Mahdi Naderi, Arezoo Haratian

Supervisors

Dr. Zeinab Maleki, Dr. Pouria Ramazi

Acknowledgements

We would thanks Nasrin Rafiei for contribution in the development of the package.