plot_s: Mapping spatially (and non-spatially) varying coefficients...

In spmoran: Fast Spatial Regression using Moran Eigenvectors

Mapping spatially (and non-spatially) varying coefficients (SVCs or SNVC)

Description

This function plots spatially and non-spatially varying coefficients (SNVC) or spatially varying coefficients (SVC). Note that SNVC = SVC + NVC (NVC is a coefficient varying with respect to explanatory variable value)

Usage

plot_s( mod, xnum = 0, btype = "snvc", xtype = "x", pmax = NULL, ncol = 8,
        col = NULL, inv =FALSE, brks = "regular", cex = 1, pch = 20, nmax = 20000)

Arguments

mod	Outpot from resf, besf, resf_vc, or besf_vc function
xnum	For resf_vc and besf_vc, xnum-th S(N)VC on x is plotted. If num = 0, spatially varying intercept is plotted. For resf and besf, estimated spatially dependent component in the residuals is plotted irrespective of the xnum value. Default is 0
btype	Effective for resf_vc and besf_vc. If "snvc" (default), SNVC (= SVC + NVC) is plotted. If "svc" , SVC is plotted. If "nvc", NVC is plotted
xtype	If "x" (default), coefficients on x is plotted. If "xconst", those on xconst is plotted
pmax	The maximum p-value for the S(N)VC to be displayed. For example, if pmax = 0.05, only coefficients that are statistically significant at the 5 percent level are plotted. If NULL, all the coefficients are plotted. Default is NULL
ncol	Number of colors in the color palette. Default is 8
col	Color palette used for the mapping. If NULL, the blue-pink-yellow color scheme is used. Palettes in the RColorBrewer package are available. Default is NULL
inv	If TRUE, the color palett is inverted. Default is FALSE
brks	If "regular", color is changed at regular intervals. If "quantile", color is changed for each quantile
cex	Size of the dots representing sample sites
pch	A number indicating the symbol to use
nmax	If sample size exceeds nmax, nmax samples are randomly selected and plotted. Default is 20,000

See Also

resf, besf, resf_vc, besf_vc

spmoran documentation built on April 29, 2023, 1:13 a.m.