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
sfobject - source spatial data.- target
a
sfobject - target spatial data.- vars
a
characterrepresenting the variables (observed at the source) to be estimated at the target data.- vars_var
a scalar of type
characterrepresenting 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
varsshould be scaled by its observed variance (if available).- var_method
a
characterrepresenting the method to approximate the variance of the AI estimates. Possible values are "CS" (Cauchy-Schwartz) or "MI" (Moran's I).