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

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).

Getting started

Package details

Maintainer
LicenseGPL-3
Version1.0.6
URL https://lcgodoy.me/smile/ https://github.com/lcgodoy/smile/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("lcgodoy/smile")
lcgodoy/smile documentation built on Nov. 20, 2024, 12:17 a.m.