normW

Row-normalizes a sparse matrix (dgCMatrix) or dense matrix so that each
row sums to 1. Rows with zero sums are left unchanged.

Provides methods for Geographically Weighted Regression with spatial autocorrelation (Geniaux and Martinetti 2017) <doi:10.1016/j.regsciurbeco.2017.04.001>. Implements Multiscale Geographically Weighted Regression with Top-Down Scale approaches (Geniaux 2026) <doi:10.1007/s10109-025-00481-4>.

Ghislain Geniaux

mgwrsar

GWR, Mixed GWR with Spatial Autocorrelation and Multiscale
GWR/GTWR (Top-Down Scale Approaches)

Davide Martinetti

César Martinez

normW function

<dl><dt>x</dt>
<dd>A matrix or dgCMatrix class sparse matrix.</dd></dl>

Arguments

Row Normalization of Sparse Matrix — normW

<dl>

<dt>x</dt>
<dd>A matrix or dgCMatrix class sparse matrix.</dd>

</dl>

normW: Row Normalization of Sparse Matrix

Description

Usage

Value

Arguments