Georob: R Package for Robust Geostatistical Analysis of Spatial Data

Georob is an R package providing functions for fitting linear models with spatially correlated errors using robust and Gaussian (Restricted) Maximum Likelihood methods. The package includes utilities for variogram modeling, cross-validation, conditional simulation of Gaussian processes, and robust point and block external-drift Kriging predictions. It was authored by Andreas Papritz and references foundational statistical work from 1977 to 2013.

Use Cases

• Perform robust spatial prediction based on Kriging methods described in the documentation.
• Model spatial correlation structures based on variogram modeling functions.
• Conduct model evaluation based on cross-validation utilities.
• Simulate Gaussian spatial processes based on conditional simulation functions.
• Analyze log-transformed spatial data based on unbiased back-transformation methods for Kriging predictions.

Strengths

• Implements robust estimation methods (Kuensch et al. 2011) designed to handle outliers in spatial data.
• Provides a comprehensive suite of geostatistical functions including Kriging, variogram modeling, and simulation.
• References peer-reviewed statistical literature spanning several decades, establishing a methodological foundation.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Andreas Papritz

Collection Method

Software package for statistical analysis.