plot.vario: Plot 'vario' objects

In tgouhier/synchrony: Methods for Computing Spatial, Temporal, and Spatiotemporal Statistics

Description

Plot vario objects

Usage

## S3 method for class 'vario'
 plot(x, xlab = "Lag distance", ylab = NULL, ylim = NULL,
                      xtype = c("mean.bin.dist", "bins"), rug = FALSE, ci = FALSE,
                      pch = 21, col.sig="black", col.nonsig="black", bg.sig="black", 
                      bg.nonsig = "white", alpha = 0.05, ...)

Arguments

x	vario object generated by vario function.
xlab	xlabel of the figure. Default is "Lag distance"
ylab	ylabel of the figure. Default is NULL and will automatically generate the right label
ylim	y-range. Default is NULL and will automatically generate the best range based on the metric
xtype	Use either the discrete bin classes (bins) or the mean distance of the points within each bin (mean.bin.dist) on the x-axis. Default is mean.bin.dist
rug	Plot rug indicating the density of data points? Default is FALSE
ci	Plot two-tailed (1-α)% confidence intervals? Default is FALSE
pch	Type of points to use when plotting the variogram. Default is 21
col.sig	Border color of points for significant values. Default is black
col.nonsig	Border color of points for non-significant values. Default is black
bg.sig	Background color of points for significant values. Default is black
bg.nonsig	Background color of points for non-significant values. Default is black
alpha	Significance level. Default is 0.05
...	other graphical parameters.

Author(s)

Tarik C. Gouhier ([e-mail])

Examples

data(pisco.data)
d=subset(pisco.data, subset=year==2000, select=c("latitude", "longitude", "sst"))
semiv=vario(data=d)
moran=vario(data=d, type="moran", nrand=100)
geary=vario(data=d, type="geary", nrand=100)

par(mfrow=c(3,1))
plot(semiv)
plot(moran, bg.sig="blue")
plot(geary, bg.sig="red")

tgouhier/synchrony documentation built on Dec. 8, 2019, 11:11 p.m.