2022
DOI: 10.3390/environments9070082
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A Preliminary Study of the Characteristics of Radon Data from Indoor Environments and Building Materials in the Campania Region Using PCA and K-Means Statistical Analyses

Abstract: For a healthy indoor environment, it is important to understand which materials and factors favor the generation of high levels of indoor radon. A preliminary multivariate statistical analysis was carried out on two datasets concerning indoor radon and building materials in the Campania Region using Principal Component Analysis (PCA) and the k-means partitional analysis technique. A total of 13 parameters related to building materials were used. The results show the greater contribution of building materials o… Show more

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Cited by 6 publications
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“…The principal component analysis (PCA) is also performed to further analyze the relation among the 238 U, 232 Th and 40 K activity concentrations and radiological hazard indicators in the 73 samples of sandstone from Feleita area 50 . Component 1 (PC1) and component 2 (PC2) are obtained and shown in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The principal component analysis (PCA) is also performed to further analyze the relation among the 238 U, 232 Th and 40 K activity concentrations and radiological hazard indicators in the 73 samples of sandstone from Feleita area 50 . Component 1 (PC1) and component 2 (PC2) are obtained and shown in Fig.…”
Section: Resultsmentioning
confidence: 99%