areal: An R package for areal weighted interpolation

Using geographically weighted regression to solve the areal interpolation problem

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Areal Interpolation and Dasymetric Modeling

Frequently in spatial analysis, data are collected using one measurement system while analyses are conducted using a different measurement system. In these two systems, data regarding individual objects often are aggregated into areal units because (1) data concerning personal information are restricted by privacy and confidentiality regulations; (2) aggregated data require less storage and hav...

CARBayes: An R Package for Spatial Areal Unit Modelling with Conditional Autoregressive Priors

This is a vignette for the R package CARBayes version 4.1, and is an updated version of a paper in the Journal of Statistical Software in 2013 Volume 55 Issue 13 by the same author. This vignette describes the class of models that can be implemented in CARBayes, and gives 3 worked examples of spatial data analysis using the package.

Geostatistical Alternatives for Incorporating Covariates in Areal Interpolation

Areal Theory ∗

New features are described for models with multi-particle area-dependent potentials, in any number of dimensions. The corresponding many-body field theories are investigated for classical configurations. Some explicit solutions are given, and some conjectures are made about chaos in such field theories. Area-dependent potentials, V (A = r1 ∧ r2), or their mathematical equivalents, appear in sev...