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The smile package for R simplifies the analysis of
spatial data. It offers tools to:
Estimate and predicte: Using a model-based approach, smile treats areal data as averages derived from a continuous Gaussian random field. It is possible to model point-referenced and areal data jointly.
Interpolate: For straightforward interpolation, smile employs a non-parametric method known as simple areal interpolation.
Quantify uncertainty: When dealing with simple areal interpolation and knowing the variance of your observations, smile helps you quantify the uncertainty associated with the interpolation.
Essentially, smile provides a user-friendly way to explore, model, and interpolate spatial data with R, offering both model-based and non-parametric approaches.
The package accompanies a web page (powered by pkgdown) and 5 vignettes.
sf to spm objects;To install the CRAN 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")These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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