In lcgodoy/smile: Spatial Misalignment: Interpolation, Linkage, and Estimation

knitr::opts_chunk$set(
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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 continuous 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

To install the CRAN version of the, use

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

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

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

lcgodoy/smile documentation built on June 16, 2024, 4:45 a.m.