我想知道这是不是要求ggplot太多了。我试图在与使用facet_grid相关的地理区域上绘制一些图形结果似乎正在进行中,但是有一些问题使得比例正确,摆脱未使用的网格框。我想知道是否有人知道如何调整它?
该示例基于内置的美国国家数据集。
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# My failed attempt to regional summary graphs plotted over the region centroid (to overlay onto map):
# example based on the States dataset
require(ggplot2)
# Approx centroid coordinates for the US regions - I created these as the information is missing from the dataset
lat <- c(32L, 42L, 42L, 32L, 42L, 42L, 43L, 32L, 32L, 32L, 42L, 42L, 43L, 43L, 43L, 43L, 32L, 32L, 43L, 32L, 43L, 43L, 43L, 32L, 43L, 42L, 43L, 42L, 43L, 43L, 42L, 43L, 32L, 43L, 43L, 32L, 42L, 43L, 43L, 32L, 43L, 32L, 32L, 42L, 43L, 32L, 42L, 32L, 43L, 42L)
lon <- c(-88L, -114L, -114L, -88L, -114L, -114L, -73L, -88L, -88L, -88L, -114L, -114L, -91L, -91L, -91L, -91L, -88L, -88L, -73L, -88L, -73L, -91L, -91L, -88L, -91L, -114L, -91L, -114L, -73L, -73L, -114L, -73L, -88L, -91L, -91L, -88L, -114L, -73L, -73L, -88L, -91L, -88L, -88L, -114L, -73L, -88L, -114L, -88L, -91L, -114L)
region.centres <- data.frame(lon = lon, lat = lat)
state.x77 <- data.frame(state.x77)
state.x77$State <- row.names(state.x77)
region <- data.frame(Region = as.character(state.region))
data <- data.frame(c(data.frame(state.x77), region, region.centres))
# I can plot a random summary graph for each region:
p <- ggplot(data, aes(Income, colour = 'red')) +
geom_density(alpha = 0.2)
# But trying to plot onto centroid nearly works but results in loss of geographical positional accuracy
# and includes various graphs that fill the empty grid slots but are not necessary
p + facet_grid(lat ~ lon, space = "free", drop=T)
# How can I get uniform discrete graphs to sit over the centroid for each region?
答案 0 :(得分:0)
也许注释比分面更适合您的用例。在您自己的代码之后尝试以下操作。注释需要大量的手动调整,但应该完成工作。
library(maps)
states = data.frame(map("state", plot=FALSE)[c("x", "y")])
data.south = subset(data, lon == -88 & lat == 32)
overlay = qplot(data.south$Income, geom="density", color="red")
plot = (ggplot(states, aes(x, y))
+ geom_path()
+ annotation_custom(grob=ggplotGrob(overlay),
xmin=-88-2,
xmax=-88+2,
ymin=32-6,
ymax=32+6))
print(plot)
在annotation_custom
0.9.0中添加了 ggplot2
。参见
http://cloud.github.com/downloads/hadley/ggplot2/guide-col.pdf