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Thanks for the open-source work. This is a very interesting innovation in modeling the impact of contextual information (such as POI, weather, temperature, and time) on spatiotemporal prediction. Currently, we want to follow this work and reuse the dataset. However, our solution needs to know the physical meaning behind different weather numbers (from 0 to 7 at intervals of 1). Can we provide this? For example, the number 0 represents a rainstorm.
The text was updated successfully, but these errors were encountered:
Thanks for the open-source work. This is a very interesting innovation in modeling the impact of contextual information (such as POI, weather, temperature, and time) on spatiotemporal prediction. Currently, we want to follow this work and reuse the dataset. However, our solution needs to know the physical meaning behind different weather numbers (from 0 to 7 at intervals of 1). Can we provide this? For example, the number 0 represents a rainstorm.
The text was updated successfully, but these errors were encountered: