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Thesmile package for R simplifies the analysis of spatial data. It offerstools to:

• Estimate and predicte: Using a model-based approach, smile treats arealdata as averages derived from a continuous Gaussian random field. It ispossible to model point-referenced and areal data jointly.

• Interpolate: For straightforward interpolation, smile employs anon-parametric method known as simple areal interpolation.

• Quantify uncertainty: When dealing with simple areal interpolation andknowing the variance of your observations, smile helps you quantify theuncertainty associated with the interpolation.

Essentially, smile provides a user-friendly way to explore, model, andinterpolate spatial data with R, offering both model-based and non-parametricapproaches.

The package accompanies a web page (powered bypkgdown) and 5 vignettes.

1. Convertingsf tospmobjects;
2. Fitting models and makingpredictions;
3. Areal Interpolation;
4. Method;
5. Spatial covariance functions;

To install theCRAN version of the package, use

install.packages("smile")

The installation of the development version from GitHub can be done via

remotes::install_github("lcgodoy/smile")## or devtools::install_github("lcgodoy/smile")