weight_mat: Building weight matrix *W* for Areal Interpolation

In smile: Spatial Misalignment: Interpolation, Linkage, and Estimation

Building weight matrix W for Areal Interpolation

Description

internal use. W_{ij} = | A_i \, cap \, B_j |.

Usage

w_col(source_unit, target)

build_w(source, target)

est_w(W, source_dt, target)

var_w(W, var_vec, target, method = "CS", rho_mi)

Arguments

source_unit	a single geometry from the source dataset.
target	a sf object - target spatial data.
source	a sf object - source spatial data.
W	the weight matrix.
source_dt	a data.frame object representing the source dataset but excludying the geometry, i.e. the spatial information, column.
var_vec	a numeric vector with variances observed at the source data.
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).
rho_mi	numeric calcuated Moran's I.

Value

A n \times m numeric matrix. Where n is the number of objservations in the target and m is the sample size in the source dataset.

smile documentation built on April 29, 2022, 9:05 a.m.