Plot the thermochronology paths — plot

Plots the time-temperature paths. If the input x is a "HeFTy" object or a data.frame containing the goodness of fit values (as. Comp_GOF column), the paths are color coded by the goodness of fit. If cluster is specified, the paths are color coded by the clusters.

Usage

plot_paths(
  x,
  cluster = NULL,
  do.cluster = FALSE,
  cluster.params = list(),
  pal = viridisLite::viridis,
  breaks = 5,
  ...
)

Arguments

x: either an object of class "HeFTy" (output of read_hefty()) or a data.frame containing the time, temperature, and segment columns of the modeled paths.
cluster: (optional) Either a data.frame containing the segment and cluster columns to be merged with data in x
do.cluster: logical. Whether clustering with arguments specified in cluster.params should be applied. This will add information about the used dissimilarity measure and Hopkins statistic to the plot. Is ignored if cluster is specified.
cluster.params: list. Arguments passed to cluster_paths() function. Only effective when do.cluster = TRUE and cluster = NULL.
pal: color function
breaks: breaks to cut the GOF values
...: options passed to pal

Value

plot

Examples

# example data
data(tT_paths)

# Plot the paths:
plot_paths(tT_paths)


# Show predefined path clusters:
cl <- cluster_paths(tT_paths, 2)
plot_paths(tT_paths, cluster = cl)


# Calculate cluster while plotting:
plot_paths(tT_paths, do.cluster = TRUE, cluster.params = list(k = 3, method = "pam"))