Distribution of the median Root Mean Square Error (RMSE) values for pollen/station by imputation method.

Distribution of the median Root Mean Square Error (RMSE) values for pollen/station by imputation method.

<p>BZ2: Bolzano; VI1: Vicenza; GSVD: Gappy Singular Value Decomposition; p/m<sup>3</sup>: pollen/cubic meter. Each box represents the distribution of the median RMSE from the 12 simulations.</p>

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Bibliographic Details
Main Author:	Sofia Tagliaferro (20291213) (author)
Other Authors:	Adrián Corrochano (20291216) (author), Pierpaolo Marchetti (3574394) (author), Alessandro Marcon (411991) (author), Soledad Le Clainche (20050254) (author)
Published:	2024
Subjects:	Genetics Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified two monitoring stations new method based moving mean interpolation demonstrating comparable performance 10 days ). novel imputation method imputation method used simulation settings ). moving mean algorithm aerobiology &# 8221 aerobiological data reconstruction assessed imputation accuracy imputation methods aerobiological datasets &# 8220 gsvd algorithm imputation error various proportions statistical approach specifically implemented simulation study results showed r package primarily influenced pollen variability pollen concentrations pollen characteristics physical patterns northeastern italy high variability gap lengths first time findings contribute driven approach
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