This article considers critically how one of the oldest and most widely applied statistical
methods, principal components analysis (PCA), is employed with spatial data. We first …

The complexity and dynamics of the environment make it extremely difficult to directly predict
and trace the temporal and spatial changes in pollution. In the past decade, the …

Background Increasingly, patient medication adherence data are being consolidated from
claims databases and electronic health records (EHRs). Such databases offer an indirect …

In this study, principal component analysis (PCA), factor analysis (FA), and the absolute
principal component score-multiple linear regression (APCS-MLR) receptor modeling …

The total concentrations and oral bioaccessibility of heavy metals in surface-exposed lawn
soils from 28 urban parks in Guangzhou were investigated, and the health risks posed to …

The enrichment factor (EF) is a widely used metric for determining how much the presence
of an element in a sampling media has increased relative to average natural abundance …

Heavy metal contamination is an essential indicator of environmental health. In this work,
one sediment core was used for the analysis of the speciation of heavy metals (Cr, Mn, Ni …

Growing concerns surround the mid Guangdong coasts, one of China's fastest and
developing economical regions. To study the environmental impacts of economic and …

This study presents trace elements levels in surface and deep sediments of the Toulon bay
(SE France) subjected to anthropogenic inputs (navy base, harbors, etc.). The studied …

Surface sediments and clam Meretrix meretrix were collected from a northern estuarine
region in Dongying City, China. Sediments were analysed for heavy metals (Hg, As, Cd, Cr …