I am trying to train a model to predict the location of a storm at a given time. The dataset includes the longitude and latitude of the storm at the given "timestamps" but I am not sure if that is the best way to represent the location as it doesn't likely have a linear relationship.
Is there a way to combine the longitude and latitude into a feature that can be used for training? I was thinking about creating "grids" to represent spaces but I'm not sure how I would go about creating these grids or converting them back to a long/lat range.
Any help is appreciated. Thanks.