1 INTRODUCTION

2 PRELIMINARY

2.1 Spatio-temporal Data

2.2 Spatio-Temporal Deep Learning with Non-GAN Networks

3 GENERATIVE ADVERSARIAL NETWORKS

3.1 Basic Idea of GANs

3.2 Loss Function

3.3 Architecture of GAN Variants

4 GANS FOR SPATIO-TEMPORAL DATA MODELLING

5 DISCUSSION

5.1 Challenges and Future Directions

5.2 Conclusions