Functional exploratory data analysis for high-resolution measurements of urban particulate matter

DOI10.1002/BIMJ.201400251zbMath1358.62112OpenAlexW2339432447WikidataQ31075600 ScholiaQ31075600MaRDI QIDQ2829477

Silvia Castellini, Giovanna Jona Lasinio, Stefano Crocchianti, David Cappelletti, Giorgia Rocco, Beatrice Moroni, Maria Giovanna Ranalli

Publication date: 28 October 2016

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201400251

zbMATH Keywords

classificationhigh-frequency datafunctional data analysispenalized splinesair qualitysensor data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12)

Related Items (1)

Modelling spatio-temporal air pollution data from a mobile monitoring station

Uses Software

• Silhouettes
• gamair

Cites Work

• Unnamed Item
• Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan
• Managing and mining uncertain data
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Functional data analysis.
• Finding Groups in Data
• Unsupervised Curve Clustering using B‐Splines
• Low‐Rank Scale‐Invariant Tensor Product Smooths for Generalized Additive Mixed Models

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