Plot CAMELS-PE Time Series — plot_pe

Creates a time series plot for one CAMELS-PE variable, such as precipitation, observed streamflow, simulated streamflow, or temperature. The function returns a ggplot object, styled with the project color palette.

Usage

plot_pe_timeseries(
  data,
  variable = "flow_obs",
  gauge_id = NULL,
  date_col = "date",
  facet = TRUE,
  scales = "free_y",
  line_color = "#2F4156",
  ...
)

plot_timeseries(
  data,
  variable = "flow_obs",
  gauge_id = NULL,
  date_col = "date",
  facet = TRUE,
  scales = "free_y",
  line_color = "#2F4156",
  ...
)

Arguments

data: A data frame containing CAMELS-PE time series.
variable: Character string. Name of the variable to plot. Default is "flow_obs".
gauge_id: Optional character vector. Gauge IDs used to filter the data before plotting. If NULL, all available gauges in data are plotted.
date_col: Character string. Name of the date column. Default is "date".
facet: Logical value. If TRUE (default), creates one panel per gauge ID.
scales: Character string. Scales passed to ggplot2::facet_wrap(). One of "fixed", "free", "free_x", or "free_y" (default).
line_color: Character string. Line color for the time series. Default is "#2F4156" (Navy).
...: Additional arguments passed to ggplot2::geom_line().

Value

A ggplot visualization object representing the time series.

Examples

ts <- load_pe_timeseries(
  gauge_ids = "PE_110139",
  variables = c("prec", "flow_sim")
)
plot_pe_timeseries(ts, variable = "prec")