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A Statistical Approach for A-Posteriori Deployment of Microclimate Sensors in Museums: A Case Study

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A Statistical Approach for A-Posteriori Deployment of Microclimate Sensors in Museums: A Case Study

dc.contributor.author	Frasca, Francesca
dc.contributor.author	Verticchio, Elena
dc.contributor.author	Merello, Paloma
dc.contributor.author	Zarzo Castelló, Manuel
dc.contributor.author	Grinde, Andreas
dc.contributor.author	Fazio, Eugenio
dc.contributor.author	García Diego, Fernando Juan
dc.contributor.author	Siani, Anna Maria
dc.date.accessioned	2023-03-28T08:12:09Z
dc.date.available	2023-03-29T04:45:06Z
dc.date.issued	2022	es_ES
dc.identifier.citation	Frasca F, Verticchio E, Merello P, Zarzo M, Grinde A, Fazio E, García-Diego F-J, Siani AM. A Statistical Approach for A-Posteriori Deployment of Microclimate Sensors in Museums: A Case Study. Sensors. 2022; 22(12):4547.	es_ES
dc.identifier.uri	https://hdl.handle.net/10550/85939
dc.description.abstract	The deployment of sensors is the first issue encountered when microclimate monitoring is planned in spaces devoted to the conservation of artworks. Sometimes, the first decision regarding the position of sensors may not be suitable for characterising the microclimate close to climate-sensitive artworks or should be revised in light of new circumstances. This paper fits into this context by proposing a rational approach for a posteriori deployment of microclimate sensors in museums where long-term temperature and relative humidity observations were available (here, the Rosenborg Castle, Copenhagen, Denmark). Different statistical tools such as box-and-whisker plots, principal component analysis (PCA) and cluster analysis (CA) were used to identify microclimate patterns, i.e., similarities of indoor air conditions among rooms. Box-and-whisker plots allowed us to clearly identify one microclimate pattern in two adjoining rooms located in the basement. Multivariate methods (PCA and CA) enabled us to identify further microclimate patterns by grouping not only adjoining rooms but also rooms located on different floors. Based on these outcomes, new configurations about the deployment of sensors were proposed aimed at avoiding redundant sensors and collecting microclimate observations in other sensitive locations of this museum.	es_ES
dc.language.iso	en	es_ES
dc.publisher	MDPI	es_ES
dc.subject	museum	es_ES
dc.subject	microclimate	es_ES
dc.subject	multivariate approach	es_ES
dc.subject	principal component analysis	es_ES
dc.subject	cluster analysis	es_ES
dc.subject	sensors	es_ES
dc.subject	deployment	es_ES
dc.subject	temperature	es_ES
dc.subject	relative humidity	es_ES
dc.title	A Statistical Approach for A-Posteriori Deployment of Microclimate Sensors in Museums: A Case Study	es_ES
dc.type	journal article	es_ES
dc.subject.unesco	UNESCO::CIENCIAS ECONÓMICAS	es_ES
dc.identifier.doi	10.3390/s22124547	es_ES
dc.accrualmethod	S	es_ES
dc.embargo.terms	0 days	es_ES