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>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Sofia Tagliaferro (20291213) (author)
مؤلفون آخرون: Adrián Corrochano (20291216) (author), Pierpaolo Marchetti (3574394) (author), Alessandro Marcon (411991) (author), Soledad Le Clainche (20050254) (author)
منشور في: 2024
الموضوعات:
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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