Statistical analysis methods for environmental data are implemented, with a particular focus on robust methods and methods for compositional data. Larger data sets from geochemistry are provided. The statistical methods are described in the book 'Statistical Data Analysis Explained' by Reimann, Filzmoser, Garrett, and Dutter (2008).
Use Cases
- Apply robust statistical methods to environmental data based on the described analytical focus.
- Analyze compositional data from geochemistry based on the provided larger data sets.
- Benchmark new statistical techniques against established methods described in the referenced 2008 book.
Strengths
- Methods are documented in a peer-reviewed book (Reimann et al., 2008).
- Focus on robust methods and compositional data analysis for environmental applications.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Peter Filzmoser
- Collection Method
- Implementation of statistical methods and provision of geochemistry data sets.