标签:style blog http io ar color sp for on
方法1、散点图
hscat(log(zinc)~1, meuse, (0:9)*100)
方法2、变异函数云图
library(gstat)
cld <- variogram(log(zinc) ~ 1, meuse, cloud = TRUE)
svgm <- variogram(log(zinc) ~ 1, meuse)
d <- data.frame(gamma = c(cld$gamma, svgm$gamma),
dist = c(cld$dist, svgm$dist),
id = c(rep("cloud", nrow(cld)), rep("sample variogram", nrow(svgm)))
)
xyplot(gamma ~ dist | id, d,
scales = list(y = list(relation = "free",
#ylim = list(NULL, c(-.005,0.7)))),
limits = list(NULL, c(-.005,0.7)))),
layout = c(1, 2), as.table = TRUE,
panel = function(x,y, ...) {
if (panel.number() == 2)
ltext(x+10, y, svgm$np, adj = c(0,0.5)) #$
panel.xyplot(x,y,...)
},
xlim = c(0, 1590),
cex = .5, pch = 3
)
plot(variogram(log(zinc) ~ 1, meuse)) // 对每一个距离去平均
sel <- plot(variogram(zinc ~ 1, meuse, cloud = TRUE), digitize = TRUE)
plot(sel, meuse)
v <- variogram(log(zinc) ~ 1, meuse)
print(xyplot(gamma ~ dist, v, pch = 3, type = ‘b‘, lwd = 2, col = ‘darkblue‘,
panel = function(x, y, ...) {
for (i in 1:100) {
meuse$random = sample(meuse$zinc)
v = variogram(log(random) ~ 1, meuse)
llines(v$dist, v$gamma, col = ‘grey‘)
}
panel.xyplot(x, y, ...)
},
ylim = c(0, 0.75), xlab = ‘distance‘, ylab = ‘semivariance‘
))
标签:style blog http io ar color sp for on
原文地址:http://www.cnblogs.com/takeaction/p/4123296.html