California

The counties' boundary in California

datasets

Geographically weighted panel regression is grounded in a branch of spatial statistics. Using geographically weights, the geographically weighted panel regression is try to solve the residuals from panel regression clustering spatially. To investigate whether the residuals cluster spatially, the Moran's I test is also improved. Furthermore, three local statistic tests are contained to help the users select model. The major references are Fotheringham et al. (2003, ISBN:978-0-470-85525-6) and Beenstock and Felsenstein (2019, ISBN:978-3-030-03614-0).

Chao Li

GWPR.light

Geographically Weighted Panel Regression

Shunsuke Managi

California function

A <code>sp::SpatialPolygonsDataFrame</code> with 'GEOID":<dl class="dl-horizontal">
<dt>GEOID</dt><dd>a numeric vector, fips IDs of the counties</dd>
</dl>

Format

California (SpatialPolygonsDataFrame) — California

A <code>sp::SpatialPolygonsDataFrame</code> with 'GEOID":<dl class='dl-horizontal'>
<dt>GEOID</dt><dd>a numeric vector, fips IDs of the counties</dd>
</dl>

California: California (SpatialPolygonsDataFrame)

Description

Usage

Arguments

Format

Examples