print.spahetbootres

Print the result of spatial heterogeneity test

This model divides coefficients into three types,
i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022)<doi:10.1177/23998083211063885>.
If data have spatial hierarchical structures (especially are overlapping on some locations),
it is worth trying this model to reach better fitness.

Yigong Hu

hgwrr

Hierarchical and Geographically Weighted Regression

Richard Harris

Richard Timmerman

print.spahetbootres function

<dl><dt>x</dt>
<dd>A <code>spahetbootres</code> object.</dd>
<dt>...</dt>
<dd>Other unused arguments.</dd></dl>

Arguments

Print the result of spatial heterogeneity test — print.spahetbootres

<dl>

<dt>x</dt>
<dd>A <code>spahetbootres</code> object.</dd>


<dt>...</dt>
<dd>Other unused arguments.</dd>

</dl>

print.spahetbootres: Print the result of spatial heterogeneity test

Description

Usage

Arguments