Compositional data analysis (CoDa) is the standard statistical methodology when data
contain information about the relative importance of parts of a whole. Many research …

In the life sciences, many measurement methods yield only the relative abundances of
different components in a sample. With such relative—or compositional—data, differential …

The log-ratio approach to compositional data (CoDa) analysis has now entered a mature
phase. The principles and statistical tools introduced by J. Aitchison in the eighties have …

Financial ratios are often used in cluster analysis to classify firms according to the similarity
of their financial structures. Besides the dependence of distances on ratio choice, ratios …

Coherent provenance studies of soils that take into account data processing and the
limitations arising from the physiochemical properties of the source material are scarce. In …

Terra rossa soils on the Istrian peninsula are generally considered polygenetic relict soils.
They overlie and mark the youngest subaerial unconformity in the northwestern part of the …

Air pollution stands as an environmental risk to child mental health, with proven
relationships hitherto observed only in urban areas. Understanding the impact of pollution in …

Fish skin-associated microbial communities are highly variable among populations and
species and can impact host fitness. Still, the sources of variation in microbiome …

Among adolescents, gender groups who report less healthful movement behaviours also
tend to experience lower mental health status. Adolescent girls often report lower levels of …

Like the statistical analysis of compositional data in general, spatial analysis of
compositional data requires specific tools. A historical overview of their development is …