gw.adapt

The function constructs weights using an adaptive kernal for geographically weighted regression

spatial

Functions for computing geographically weighted
regressions are provided, based on work by Chris
Brunsdon, Martin Charlton and Stewart Fotheringham.

Roger Bivand

spgwr

Geographically Weighted Regression

Danlin Yu

Tomoki Nakaya

Miquel-Angel Garcia-Lopez

gw.adapt function

<dl> <dt>dp</dt>
<dd>data points coordinates</dd> <dt>fp</dt>
<dd>fit points coordinates</dd> <dt>quant</dt>
<dd>proportion of data points to include in the weights</dd> <dt>longlat</dt>
<dd>if TRUE, use distances on an ellipse with WGS84 parameters</dd></dl>

Arguments

Roger Bivand <a href="/link/Roger.Bivand%40nhh.no?package=spgwr&version=0.6-37" data-mini-rdoc="spgwr::Roger.Bivand@nhh.no">Roger.Bivand@nhh.no</a>

Author

Adaptive kernel for GWR — gw.adapt

<dl>

 <dt>dp</dt>
<dd>data points coordinates</dd>

 <dt>fp</dt>
<dd>fit points coordinates</dd>

 <dt>quant</dt>
<dd>proportion of data points to include in the weights</dd>

 <dt>longlat</dt>
<dd>if TRUE, use distances on an ellipse with WGS84 parameters</dd>

</dl>

Roger Bivand <a href='mailto:Roger.Bivand@nhh.no'>Roger.Bivand@nhh.no</a>

gw.adapt: Adaptive kernel for GWR

Description

Usage

Value

Arguments

Author