A Computational Tool for Aerobiological Data

Different tools for managing databases of airborne particles, elaborating the main calculations and visualization of results. In a first step, data are checked using tools for quality control and all missing gaps are completed. Then, the main parameters of the pollen season are calculated and represented graphically. Multiple graphical tools are available: pollen calendars, phenological plots, time series, tendencies, interactive plots, abundance plots...


AeRobiology 1.0

Changes in AeRobiology version 1.0.3

Import the packages: purrr, colorspace and httpuv

Function trend_plot() updated with extra information and better visualization of "significant" argument.

Change the "maintainer" to only one of the authors, maintainer role will rotate among the authors.

Changes in AeRobiology version 1.0.2

The changes in specific functions are entitled as updates.function()


  • Three typos in the documentation (pg. 27, 29, 33, 37).


  • added a new argument: exclude. exclude is a character string vector with the names of the pollen types to be excluded from the plot.


  • Updated documentation with default values of the arguments.
  • Updated documentation about "natural year". Natural year is also known as "Calendar year", i.e. the period from 1.January to 31.December.


  • Fixed bug of date recognition.


  • Fixed bug of date recognition.

Reference manual

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2.0.1 by Jose Oteros, 3 years ago

Browse source code at https://github.com/cran/AeRobiology

Authors: Jesus Rojo <[email protected]> , Antonio Picornell <[email protected]> , Jose Oteros <[email protected]>

Documentation:   PDF Manual  

GPL-3 license

Imports dplyr, writexl, ggvis, lubridate, plotly, ggplot2, tidyr, circular, scales, grDevices, zoo, grid, data.table

Suggests testthat, knitr, rmarkdown

See at CRAN