gstat
An R package for spatial and spatio-temporal geostatistical modeling, prediction, and simulation.
What is gstat?
gstat is an R package for geostatistical modeling, prediction, and simulation of spatial and spatio-temporal data. It provides tools for variogram analysis, kriging interpolation, and spatial simulation, helping researchers analyze spatially correlated data like environmental measurements or geological samples. The package implements classical geostatistical methods and extends them to handle complex multivariable and spatio-temporal scenarios.
Researchers, data scientists, and analysts in fields like environmental science, geology, hydrology, and ecology who work with spatially correlated data and need to perform interpolation, prediction, or simulation.
gstat offers a comprehensive, well-established implementation of geostatistical methods within the R ecosystem, with strong support for both spatial and spatio-temporal data. Its integration with other R spatial packages and active development make it a reliable choice for reproducible geostatistical analysis.
Overview
Spatial and spatio-temporal geostatistical modelling, prediction and simulation
Use Cases
Best For
- Interpolating environmental monitoring data (e.g., air pollution, soil properties)
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