New answers tagged

0

I was able to calculate the monthly climatology. But I'm not sure it's the best approach. monthly_mean <- function(month) { nc_time_series %>% filter(lubridate::month(time) == month) %>% st_apply(c(1,2), mean, na.rm = TRUE) } a <- lapply(1:12, monthly_mean) # calculate for each month climate <- do.call(c, a) %>% # join list ...


1

I hope I understood your problem correctly (although still don't know why you added timestamps at the end if your csv clearly shows the time being two string columns). First of all, you have to define an origin in space for your tensor. This origin consists of a lon, lat pair of coordinates that represent the upper left corner of your array. Let's assume ...


Top 50 recent answers are included