geoR: Geostatistical Analysis Data and Methods

A software companion dataset for the book 'Model-based Geostatistics' by Diggle and Ribeiro (2007). It supports geostatistical analysis using variogram-based, likelihood-based, and Bayesian methods. The dataset's author is Paulo Justiniano Ribeiro Jr.

Use Cases

• Fit variogram models to spatial data based on variogram-based methods mentioned in the description.
• Perform likelihood-based parameter estimation for spatial models based on the described methods.
• Conduct Bayesian inference on geostatistical models based on the described Bayesian methods.
• Validate and apply techniques from the associated textbook 'Model-based Geostatistics'.

Strengths

• Directly linked to the authoritative textbook 'Model-based Geostatistics' (Diggle and Ribeiro, 2007).
• Supports multiple established analysis methods: variogram-based, likelihood-based, and Bayesian.

Limitations

• Row count, column names, and file formats are unknown, which limits suitability assessment.
• Last update date is unknown; freshness unverified.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Paulo Justiniano Ribeiro Jr

Collection Method

Software companion for a textbook.

Time Range

Associated with the 2007 publication.

Freshness

Last updated date is unknown.

Geography

Geospatial coverage is unspecified.