distmat

Computes the Euclidean distance between all pairs of rows in a
matrix.

internal

Provides functions to estimate, predict and interpolate areal
data. For estimation and prediction we assume areal data is an average
of an underlying continuous spatial process as in Moraga et
al. (2017) <doi:10.1016/j.spasta.2017.04.006>, Johnson et al. (2020)
<doi:10.1186/s12942-020-00200-w>, and Wilson and Wakefield (2020)
<doi:10.1093/biostatistics/kxy041>. The interpolation methodology is
(mostly) based on Goodchild and Lam (1980, ISSN:01652273).

Lucas da Cunha Godoy

smile

Spatial Misalignment: Interpolation, Linkage, and Estimation

distmat function

<dl><dt>my_mat</dt>
<dd>A matrix where each row is a 2D coordinate.</dd></dl>

Arguments

Creating a symmetric distance matrix (Eigen version) — distmat

<dl>

<dt>my_mat</dt>
<dd>A matrix where each row is a 2D coordinate.</dd>

</dl>

distmat: Creating a symmetric distance matrix (Eigen version)

Description

Usage

Arguments