climate_heatmap_continuous: Create a climate heatmap.
In tbadams45/wrviz: Create Vizualizations For Water Resources

Description Usage Arguments Details Value Examples

Creates a ggplot2 heatmap with temperature on the x axis, preciptation on the y axis, and a given metric on the z axis.

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climate_heatmap_continuous(data, metric, bins = 7, ascending = TRUE,
  range = NULL, colors = NULL, to_percent = c(FALSE, TRUE),
  z_axis_title = "Range")

`data`	The data. dataframe, data table, named matrix, etc.
`metric`	character; The metric to display in the z axis. There should be a corresponding column name.
`bins`	Either a single number indicating the number of bins, or a vector that specifies where the bins will be cut.
`ascending`	logical; Do increasing values in the metric indicate increasingly acceptable performance?
`range`	A vector of length two that defines the max and min value of the scale.
`colors`	Provide a list representing a color scale.
`to_percent`	list; List of length two that says whether or not (temp, precip) data should be treated as percent changes (e.g. 1 means 0 0.9 means -10% change, 1.2 means 20% change...)
`z_axis_title`	Title of Z axis (represented by color)

In order for this function to work, you must have a column named "temp" and another named "precip". Beyond that, you can have as many columns as you'd like.

Because this is a ggplot2 object, you should be able to overwrite many of settings defined here.

A ggplot2 object representing the heatmap.

df <- expand.grid(temp=0:8,precip=seq(0.7,1.3,by=0.1))
df$rel <- seq(40,100,length=63)
climate_heatmap_continuous(df,"rel")
climate_heatmap_continuous(df,"rel", bins = 4)
climate_heatmap_continuous(df,"rel", bins = c(20, 30, 50, 80, 100), range = c(20, 100))

colors <- grDevices::colorRampPalette(c("firebrick2", "deepskyblue2"))(7)
climate_heatmap_continuous(df, "rel", bins = 7, colors = colors) +
  ggplot2::theme(text = ggplot2::element_text(size = 18))