crossdist

Computes Euclidean distance between rows of m1 and rows of m2.

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

crossdist function

<dl><dt>m1</dt>
<dd>A matrix where each row is a 2D coordinate.</dd>
<dt>m2</dt>
<dd>A matrix where each row is a 2D coordinate.</dd></dl>

Arguments

Pairwise distances between two matrices (Eigen version) — crossdist

<dl>

<dt>m1</dt>
<dd>A matrix where each row is a 2D coordinate.</dd>


<dt>m2</dt>
<dd>A matrix where each row is a 2D coordinate.</dd>

</dl>

crossdist: Pairwise distances between two matrices (Eigen version)

Description

Usage

Arguments