plot_heathour: Plotting hourly patterns with heatplot
In AeRobiology: A Computational Tool for Aerobiological Data

Description Usage Arguments Value References Examples

Function to plot pollen data expressed in concentrations with time resolution higher than 1 day (e.g. hourly, bi-hourly concentrations). As heatplot.

1 2	plot_heathour(data, locations = FALSE, low.col = "blue", mid.col = "white", high.col = "red")

`data`	A `data.frame` object with the structure `long`. Where the first two columns are `factors` indicating the `pollen` and the `location`. The 3 and 4 columns are `POSIXct`, showing the hour. Where the third column is the beguinning of the concentration `from` and the fourth column is the end time of the concentrtion data `to`. The fifth column shows the concentrations of the different pollen types as `numeric`. Please see the example 3-hourly data from the automatic pollen monitor BAA500 from Munich and Viechtach in Bavaria (Germany) `data("POMO_pollen")`, supplied by ePIN Network supported by the Bavarian Government.
`locations`	A `logical` object with the specification if the different locations will be displayed in the plot. Argument only used when `result == "plot"`. By default, `locations = FALSE`.
`low.col`	A `character` object with the specification of the color of the lowest value for the scale. By default, `low.col = "blue"`.
`mid.col`	A `character` object with the specification of the color of the medium value for the scale. By default, `mid.col = "white"`.
`high.col`	A `character` object with the specification object with the specification of the color of the highest value for the scale. By default, `high.col = "red"`.

The function returns an object or a list of objects of class ggplot2.

Oteros, J., Pusch, G., Weichenmeier, I., Heimann, U., Mueller, R., Roeseler, S., ... & Buters, J. T. (2015). Automatic and online pollen monitoring. International archives of allergy and immunology, 167(3), 158-166.