I am processing a CHIPRS dataset for rainfall prediction, where I have as inputs the geographical coordinates (latitude and longitude), the day of the rainfall reading and the rainfall value, with respect to the date of reading I am extracting the month and the year and put them in a sine and cosine function separately as follows:

sin-day, cos-day, sin-month, cos-month: in this way I can tell the model which day is closer to the other, as well as the months, but I do not know how to treat the latitude and longitude variables, all this thinking in predictive models of monthly precipitation as for example LTMS or GRU.

I appreciate your help in advance.



Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.