Description Usage Arguments Details Value References See Also Examples
Generates a barplot based on the relative abundance (as percentage) in the air of the pollen types with respect to the total amounts
1 2 3 4 |
data |
A |
n.types |
A |
y.start, y.end |
A |
interpolation |
A |
int.method |
A |
col.bar |
A |
type.plot |
A |
result |
A |
export.plot |
A |
export.format |
A |
exclude |
A |
... |
Other additional arguments may be used to customize the exportation of the plots using |
This function allows to calculate the relative abundance of the pollen types in the air from a database and to display a barplot with the percentage representation of the main pollen types as the graph reported by Rojo et al. (2016). This plot will be generated only for the specified number of the most abundant pollen types using the n.types
argument by the user.
Pollen time series frequently have different gaps with no data and this fact could be a problem for the calculation of specific methods for defining the pollen season even providing incorrect results. In this sense by default a linear interpolation will be carried out to complete these gaps before to define the pollen season (interpolation = TRUE
). Additionally, the users may select other interpolation methods using the int.method
argument, as "lineal"
, "movingmean"
, "spline"
or "tseries"
. For more information to see the interpollen
function.
This function returns different results:
plot
in the active graphics window displaying the pollen calendar generated by the user when result = "plot"
. This plot
may be included in an object by assignment operators.
data.frame
including the yearly average pollen amounts for each pollen types used to generate the pollen of the relative abundance when result = "table"
. This data.frame
will be included in an object named annual.sum.data
.
If export.plot = FALSE
graphical results will only be displayed in the active graphics window as ggplot graph. Additional characteristics may be incorporated to the plot by ggplot
syntax (see ggplot2 package).
If export.plot = TRUE
and export.format = pdf
a pdf file with the plot will be saved within the plot_AeRobiology directory created in the working directory. This option is applicable only for "static"
plots. Additional characteristics may be incorporated to the exportation as pdf file (see grDevices package).
If export.plot = TRUE
and export.format = png
a png file with the plot will be saved within the plot_AeRobiology directory created in the working directory. This option is applicable only for "static"
plots. Additional characteristics may be incorporated to the exportation as png file (see grDevices package).
If type.plot = dynamic
graphical results will be displayed in the active Viewer window as plotly graph. Additional characteristics may be incorporated to the plot by plotly
syntax (see plotly package).
Rojo, J., Rapp, A., Lara, B., Sabariego, S., Fernandez_Gonzalez, F. and Perez_Badia, R., 2016. Characterisation of the airborne pollen spectrum in Guadalajara (central Spain) and estimation of the potential allergy risk. Environmental Monitoring and Assessment, 188(3), p.130.
1 2 | data("munich_pollen")
iplot_abundance (munich_pollen, interpolation = FALSE, export.plot = FALSE)
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