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Docampo, S, del Mar Trigo, M, Aira, M, Cabezudo, B and Flores-Moya, A (2009)

Benfordís law applied to aerobiological data and its potential as a quality control tool

Aerobiologia 25, 275-283 .

ISSN/ISBN: 0393-5965 DOI: Not available at this time.



Abstract: Benfordís phenomenological law gives the expected frequencies of the first significant digits of any given series of numbers. According to this law, the frequency of 1 is higher than that of 2; this in turn appears more often 3, and so on. Similarly, Benfordís law can also be applied to the first two significant digits (i.e., from 10 to 99), and so on. Here, we show that gross data sets of daily pollen counts from three aerobiological stations (located in European cities with different features regarding vegetation and climatology) fit Benfordís law for the first significant digits, but this is not always true for the data transformed by a correction factor used in aerobiological studies. That is to say, the biases introduced by rounding and lower and upper built-in limits in pollen counts are detected by Benfordís law analysis. The analysis of the first two significant digits from transformed data is better explained by a Power law than Benfordís law. We propose that Benfordís law could be used as a quality control tool for numerical aerobiological data sets.


Bibtex:
@article{ TITLE = {Benfordís law applied to aerobiological data and its potential as a quality control tool}, AUTHOR = {Docampo, Silvia and del Mar Trigo, Mar{\'i}a and Aira, Mar{\'i}a Jes{\'u}s and Cabezudo, Baltasar and Flores-Moya, Antonio}, JOURNAL = {Aerobiologia}, VOLUME = {25}, NUMBER = {4}, PAGES = {275--283}, YEAR = {2009}, PUBLISHER = {Springer} }


Reference Type: Journal Article

Subject Area(s): Biology