AI {smile}

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).

Value

the target (of type sf) with estimates of the variables observed at the source data.