plot_s: Mapping spatially and spatio-temporally varying coefficients

In spmoran: Fast Spatial and Spatio-Temporal Regression using Moran Eigenvectors

Mapping spatially and spatio-temporally varying coefficients

Description

This function plots spatially varying coefficients (SVC) and spatio-temporally varying coefficients (STVC) with/without coefficient varying with respect to the value of the explanatory variable (NVC). Namely, the full varying coefficient equals STVC + NVC.

Usage

plot_s( mod, xnum = 0, btype = "all", xtype = "x", pmax = NULL, ncol = 8,
        col = NULL, inv =FALSE, brks = "regular", cex = 1, pch = 20,
        nmax = 20000, coords_z1_lim=NULL, coords_z2_lim = NULL)

Arguments

mod	Outpot from resf, besf, resf_vc, besf_vc, or addlearn_local function
xnum	For resf_vc, besf_vc, and addlearn_local, xnum-th SVC/STVC is plotted. If num = 0, varying intercept is plotted. For resf and besf, estimated spatially dependent residual process is plotted irrespective of the xnum value. Default is 0
btype	Effective if x_nvc =TRUE in resf_vc and besf_vc. If "all" (default), the estiamted varying coefficients (S(T)VC + NVC) are plotted as they are. If "svc", S(T)VC 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 varying coefficients to be displayed. For example, if pmax = 0.05, the 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
coords_z1_lim	Value range for coords_z[,1] in the meigen/meigen_f function (vector). If is has two elements, the samples whose coords_z[,1] values are in between these values are plotted. If it is a scalar, samples satisfying coords_z[,1]==coords_z1_lim is plotted
coords_z2_lim	Value range for coords_z[,2] (vector).

See Also

resf, besf, resf_vc, besf_vc, addlearn_local

spmoran documentation built on Oct. 13, 2024, 1:07 a.m.