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

AI	R Documentation

Areal Interpolation

Description

This function estimates variables observed at a "source" region into a "target" region. "Source" and "target" regions represent two different ways to divide a city, for example. For more details, see https://lcgodoy.me/smile/articles/sai.html.

Usage

ai(source, target, vars)

ai_var(source, target, vars, vars_var, sc_vars = FALSE, var_method = "CS")

Arguments

`source`	a `sf` object - source spatial data.
`target`	a `sf` object - target spatial data.
`vars`	a `character` representing the variables (observed at the source) to be estimated at the target data.
`vars_var`	a scalar of type `character` representing the name of the variable in the source dataset that stores the variances of the variable to be estimated at the target data.
`sc_vars`	boolean indicating whether `vars` should be scaled by its observed variance (if available).
`var_method`	a `character` representing the method to approximate the variance of the AI estimates. Possible values are "CS" (Cauchy-Schwartz) or "MI" (Moran's I).