Location of the selected monitoring stations in the Northeast of Italy and the respective pollen time series for the year 2022.

<p>The map was produced using the QuickMapServices plugin (NextGIS, 2019) in QGIS software version 3.34.9 (QGIS Development Team. QGIS Geographic Information System. Open-Source Geospatial Foundation Project. <a href="http://qgis.org/" target="_blank">http://qgis.org&...

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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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Location of the selected monitoring stations in the Northeast of Italy and the respective pollen time series for the year 2022.

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