plot_timeline: Plotting the timeline of the fire and the noise

View source: R/plot_timeline.R

plot_timelineR Documentation

Plotting the timeline of the fire and the noise

Description

This function plots the timeline of the fires and the noise points.

Usage

plot_timeline(
  result,
  from = NULL,
  to = NULL,
  mainBreak = NULL,
  minorBreak = NULL,
  dateLabel = NULL
)

Arguments

result

spotoroo object. A result of a call to hotspot_cluster().

from

OPTIONAL. Date/Datetime/Numeric. Start time. The data type needs to be the same as the provided observed time.

to

OPTIONAL. Date/Datetime/Numeric. End time. The data type needs to be the same as the provided observed time.

mainBreak

OPTIONAL. Character/Numeric. A string/value giving the difference between major breaks. If the observed time is in date/datetime format, this value will be passed to ggplot2::scale_x_date() or ggplot2::scale_x_datetime() as date_breaks.

minorBreak

OPTIONAL. Character/Numeric. A string/value giving the difference between minor breaks. If the observed time is in date/datetime format, this value will be passed to ggplot2::scale_x_date() or ggplot2::scale_x_datetime() as date_minor_breaks.

dateLabel

OPTIONAL. Character. A string giving the formatting specification for the labels. If the observed time is in date/datetime format, this value will be passed to ggplot2::scale_x_date() or ggplot2::scale_x_datetime() as date_labels. Unavailable if the observed time is in numeric format.

Value

A ggplot object. The plot of the timeline.

Examples



  # Time consuming functions (>5 seconds)


  # Get clustering results
  result <- hotspot_cluster(hotspots,
                          lon = "lon",
                          lat = "lat",
                          obsTime = "obsTime",
                          activeTime = 24,
                          adjDist = 3000,
                          minPts = 4,
                          minTime = 3,
                          ignitionCenter = "mean",
                          timeUnit = "h",
                          timeStep = 1)

  # Plot timeline
  plot_timeline(result,
              mainBreak = "1 week",
              minorBreak = "1 day",
              dateLabel = "%b %d")




TengMCing/hotspotcluster documentation built on Aug. 23, 2023, 12:47 p.m.