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dc.contributor.authorPicornell Rodríguez, Antonio
dc.contributor.authorOteros, José
dc.contributor.authorRojo, Jesús
dc.date.accessioned2019-07-25T09:14:21Z
dc.date.available2019-07-25T09:14:21Z
dc.date.created2019
dc.date.issued2019-07-25
dc.identifier.urihttps://hdl.handle.net/10630/18140
dc.description.abstractAerobiology databases are constantly growing. Managing these extensive datasets requires large amounts of time and effort. Nevertheless, publication and dissemination of the scientific findings demand quick and elaborated results, which have led to integrate computational techniques in almost all scientific fields. ”AeRobiology” is a new computational package implemented for R software which has been designed to automatically manage and visualise aerobiological data. It is an open access package and completely free to use. ”AeRobiology” package has 14 different functions which can be structured according to their utility: (1) checking the quality of the data, (2) data analysis and (3) visualization of results. Some of these functions allows to: interpolate missing gaps within the database with different techniques, calculate the main parameters of the pollen season according to all the existing Main Pollen Season definitions, elaborate pollen calendars, detect and measure trends in the main seasonal indexes, visualise the relative abundance of the different particles detected in the air, compare different years or different types of aerosols, visualise phenological parameters, and elaborate interactive plots for interpreting results on real time. More detailed information about each function can be consulted at: https://cran.r-project.org/web/packages/AeRobiology/AeRobiology.pdf This new computational tool, which is already available at CRAN repository, could constitute a useful tool to the scientific field of aerobiology. It can reduce the time and effort of the data analysis even for researches who are not very familiar with programming languages. Furthermore, it could be a necessary tool to manage the real-time data from the new automatic sampling devices.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Techen_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPolenen_US
dc.subject.otherAerobiologíaen_US
dc.subject.otherComputational packageen_US
dc.titleAeRobiology: the computational tool for biological data in the airen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroFacultad de Cienciasen_US
dc.relation.eventtitleMedPalyno 2019en_US
dc.relation.eventplaceBurdeos, Franciaen_US
dc.relation.eventdate9-11 Julio 2019en_US


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