Plot Station Climate Time Series — plot_station

Creates highly customizable climate time-series visualizations with automatic seasonal detection.

Supports:

Custom line colors
Seasonal coloring
LOESS smoothing
Trend lines
Dark/light themes
Flexible date handling
Faceting

plot_station_timeseries(
  df,
  station,
  var = "Tmin",
  smooth = TRUE,
  smooth_span = 0.25,
  show_points = TRUE,
  point_size = 2,
  line_size = 1,
  line_color = NULL,
  smooth_color = NULL,
  seasonal_colors = NULL,
  use_season_colors = TRUE,
  alpha = 0.8,
  theme_style = c("minimal", "dark", "classic", "bw"),
  date_breaks = "2 years",
  date_labels = "%Y",
  facet = FALSE,
  show_trend = FALSE,
  trend_color = "black",
  title = NULL,
  subtitle = NULL
)

Arguments

df: Climate dataframe.
station: Station name.
var: Climate variable to plot.
smooth: Logical. Add LOESS smoothing line.
smooth_span: LOESS span parameter.
show_points: Logical. Show points on plot.
point_size: Point size.
line_size: Line width.
line_color: Main line color.
smooth_color: Smoothing line color.
seasonal_colors: Named vector of colors.
use_season_colors: Logical. Color points by season.
alpha: Transparency level.
theme_style: Plot theme. Options are: "minimal", "dark", "classic", "bw".
date_breaks: X-axis date interval.
date_labels: Date label format.
facet: Logical. Facet by season.
show_trend: Logical. Add linear trend line.
trend_color: Trend line color.
title: Plot title.
subtitle: Plot subtitle.

Value

A ggplot object.

Examples

if (FALSE) { # \dontrun{

plot_station_timeseries(
  climate_data,
  station = "Station_1",
  var = "Tmin"
)

} # }