temporal_snapshots {stxplore} | R Documentation |
Plots temporal snapshots of data for specific spatial locations using a dataframe or a stars object.
Description
This function plots temporal snapshos for specific spatial locations. The location id sample need to be given as a function argument.
Usage
temporal_snapshots(x, xlab = "x", ylab = "y", title = "", ...)
## S3 method for class 'data.frame'
temporal_snapshots(
x,
xlab = "Time",
ylab = "Value",
title = "",
t_col,
z_col,
id_col,
id_sample,
...
)
## S3 method for class 'stars'
temporal_snapshots(
x,
xlab = "Time",
ylab = "Value",
title = "",
xvals,
yvals,
precision = 0,
...
)
Arguments
x |
A stars object or a dataframe. Arguments differ according to the input type. |
xlab |
The x label. |
ylab |
The y label. |
title |
The graph title. |
... |
Other arguments currently ignored. |
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. |
id_col |
The column of the location id. |
id_sample |
The sample of location ids to be plotted |
xvals |
For stars objects: the set of xvalues to plot. |
yvals |
For stars objects: the set of yvalues to plot. These two lengths need to be the same. |
precision |
For stars objects: set to 0, if the given values are compared with the integer values in the stars object. |
Value
A ggplot.
Examples
# Dataframe example
library(dplyr)
data(NOAA_df_1990)
Tmax <- filter(NOAA_df_1990,
proc == "Tmax" &
month %in% 5:9 &
year == 1993)
Tmax_ID <- unique(Tmax$id)
Tmax$t <- Tmax$julian - min(Tmax$julian) + 1
ids <- sample(Tmax_ID, 10)
temporal_snapshots(Tmax,
t_col = 't',
z_col = 'z',
id_col = 'id',
id_sample = ids)
# stars example
library(stars)
tif = system.file("tif/L7_ETMs.tif", package = "stars")
x <- read_stars(tif)
xvals <- c(288876.0,289047.0)
yvals <- c(9120405, 9120006)
temporal_snapshots(x,
xvals = xvals,
yvals = yvals)