gwr.t.adjust

an object of class &#8220;gwrm&#8221;, returned by the function <a rd-options="" href="/link/gwr.basic?package=GWmodel&version=2.1-3" data-mini-rdoc="GWmodel::gwr.basic">gwr.basic</a>

gwm.Obj

Given a set of p-values from the pseudo t-tests of basic GWR outputs, this function returns adjusted p-values using: 
(a) Bonferroni, (b) Benjamini-Hochberg, (c) Benjamini-Yekutieli and
(d) Fotheringham-Byrne procedures.

p-values adjustment

Techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. 'GWmodel' includes functions to calibrate: GW summary statistics (Brunsdon et al. 2002)<doi: 10.1016/s0198-9715(01)00009-6>, GW principal components analysis (Harris et al. 2011)<doi: 10.1080/13658816.2011.554838>, GW discriminant analysis (Brunsdon et al. 2007)<doi: 10.1111/j.1538-4632.2007.00709.x> and various forms of GW regression (Brunsdon et al. 1996)<doi: 10.1111/j.1538-4632.1996.tb00936.x>; some of which are provided in basic and robust (outlier resistant) forms.

Binbin Lu

GWmodel

Geographically-Weighted Models

gwr.t.adjust function

an object of class &#8220;gwrm&#8221;, returned by the function <a rd-options='' href='gwr.basic'>gwr.basic</a>

gwr.t.adjust: Adjust p-values for multiple hypothesis tests in basic GWR

Description

Usage

Arguments

References