smile

Spatial Misalignment: Interpolation, Linkage, and Estimation

The goal of smile is to provide an easy to use R package that functions to estimate, predict and interpolate areal data. For estimation and prediction we use a model-based approach assuming areal data to be an average of an underlying continuos Gaussian random field. For interpolation, we use the simple areal interpolation, which is a nonparametric approach. Also, we provide functions to quantify the uncertainty associated with the simple areal interpolation when the variance of the observed variables is known.

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

Vignettes

1. Converting sf to spm objects;
2. Fitting models and making predictions;
3. Areal Interpolation;
4. Method;
5. Spatial covariance functions;

Installation

The package is not on CRAN yet. Therefore, only the development version from GitHub is available. If you are interested, you can installed using:

## install.packages("smile")
remotes::install_github("lcgodoy/smile")