| hovmoller | R Documentation |
This function creates the data structure for Hovmoller plots for either latitude or longitude. This function can take either a stars object or a dataframe. Input arguments differ for each case. The function autoplot can plot this object.
hovmoller(x, lat_or_lon = "lat", xlen = NULL, ...) ## S3 method for class 'data.frame' hovmoller( x, lat_or_lon = "lat", xlen = NULL, lat_or_lon_col, t_col, z_col, ... ) ## S3 method for class 'stars' hovmoller(x, lat_or_lon = "lat", xlen = NULL, ...) ## S3 method for class 'hovmoller' autoplot( object, ylab = "Day", xlab = NULL, title = "", palette = "Spectral", legend_title = "z", ... )
x |
A stars object or a dataframe. Arguments differ according to the input type. |
lat_or_lon |
Needs to be either |
xlen |
The length of the xaxis for latitude/longitude. |
... |
Other arguments currently ignored. |
lat_or_lon_col |
For dataframes: the column or the column name corresponding to the latitude/longitude. |
t_col |
For dataframes: the time column. Time must be a set of discrete integer values. |
z_col |
For dataframes: the The quantity of interest that will be plotted. Eg. temperature. |
object |
For autoplot: the output of the function ‘hovmoller’. |
ylab |
The y label. |
xlab |
The x label. |
title |
The graph title. |
palette |
The color palette. Default is |
legend_title |
The title for the legend. |
An object of hovmoller class containing the original data and the Hovmoller data.
# dataframe examples
library(dplyr)
data(NOAA_df_1990)
Tmax <- filter(NOAA_df_1990,
proc == "Tmax" &
month %in% 5:9 &
year == 1993 &
id < 4000)
Tmax$t <- Tmax$julian - min(Tmax$julian) + 1
hov <- hovmoller(lat_or_lon = "lat",
x = Tmax,
lat_or_lon_col = 'lat',
t_col = 't',
z_col = 'z')
autoplot(hov)
# stars examples
library(stars)
prec_file = system.file("nc/test_stageiv_xyt.nc", package = "stars")
prec <- read_ncdf(prec_file)
prec2 <- prec %>% slice(time, 1:5)
hov <- hovmoller(prec2)
hov
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