Spatial Misalignment: Interpolation, Linkage, and Estimation R package smile version 1.1.0 Provides functions to estimate, predict and interpolate areal data. For estimation and prediction we assume areal data is an average of an underlying continuous spatial process as in Moraga et al. (2017) <doi:10.1016/j.spasta.2017.04.006>, Johnson et al. (2020) <doi:10.1186/s12942-020-00200-w>, and Wilson and Wakefield (2020) <doi:10.1093/biostatistics/kxy041>. The interpolation methodology is (mostly) based on Goodchild and Lam (1980, ISSN:01652273). Software Depends: R (>= 4.1.0) Imports: numDeriv, Rcpp, sf, mvtnorm, stats, parallel, Matrix LinkingTo: Rcpp, RcppEigen Suggests: knitr, rmarkdown, ggplot2, graphics Lucas da Cunha Godoy <lcgodoy@duck.com> Comprehensive R Archive Network (CRAN) Lucas da Cunha Godoy [aut, cre] (ORCID: <https://orcid.org/0000-0003-4265-972X>) GPL-3 2025-09-22 application/tgz https://CRAN.R-project.org/package=smile doi:10.32614/CRAN.package.smile en-US