编辑 2016 年 1 月 11 日:使用ggrepel
package with ggplot2
v2.0.0 和ggmap
v2.6
ggrepel
效果很好。在下面的代码中,geom_label_repel()
显示一些可用的参数。
lat <- c(47.597157,47.656322,47.685928,47.752365,47.689297,47.628128,47.627071,
47.586349,47.512684,47.571232,47.562283)
lon <- c(-122.312187,-122.318039,-122.31472,-122.345345,-122.377045,-122.370117,
-122.368462,-122.331734,-122.294395,-122.33606,-122.379745)
labels <- c("Site 1A","Site 1B","Site 1C","Site 2A","Site 3A","Site 1D",
"Site 2C","Site 1E","Site 2B","Site 1G","Site 2G")
df <- data.frame(lat,lon,labels)
library(ggmap)
library(ggrepel)
library(grid)
map.data <- get_map(location = c(lon = -122.3485, lat = 47.6200),
maptype = 'roadmap', zoom = 11)
ggmap(map.data) +
geom_point(data = df, aes(x = lon, y = lat),
alpha = 1, fill = "red", pch = 21, size = 5) +
labs(x = 'Longitude', y = 'Latitude') +
geom_label_repel(data = df, aes(x = lon, y = lat, label = labels),
fill = "white", box.padding = unit(.4, "lines"),
label.padding = unit(.15, "lines"),
segment.color = "red", segment.size = 1)
原始答案但已更新ggplot
v2.0.0 和ggmap
v2.6
如果只有少量重叠点,则使用直接标签包中的“top.bumpup”或“top.bumptwice”方法可以将它们分开。在下面的代码中,我使用geom_dl()
函数来创建和定位标签。
lat <- c(47.597157,47.656322,47.685928,47.752365,47.689297,47.628128,47.627071,
47.586349,47.512684,47.571232,47.562283)
lon <- c(-122.312187,-122.318039,-122.31472,-122.345345,-122.377045,-122.370117,
-122.368462,-122.331734,-122.294395,-122.33606,-122.379745)
labels <- c("Site 1A","Site 1B","Site 1C","Site 2A","Site 3A","Site 1D",
"Site 2C","Site 1E","Site 2B","Site 1G","Site 2G")
df <- data.frame(lat,lon,labels)
library(ggmap)
library(directlabels)
map.data <- get_map(location = c(lon = -122.3485, lat = 47.6200),
maptype = 'roadmap', zoom = 11)
ggmap(map.data) +
geom_point(data = df, aes(x = lon, y = lat),
alpha = 1, fill = "red", pch = 21, size = 6) +
labs(x = 'Longitude', y = 'Latitude') +
geom_dl(data = df, aes(label = labels), method = list(dl.trans(y = y + 0.2),
"top.bumptwice", cex = .8, fontface = "bold", family = "Helvetica"))
编辑:调整底层标签
我想到了几种方法,但都不是完全令人满意。但我认为您不会找到适用于所有情况的解决方案。
为每个标签添加背景颜色
这是一个解决方法,但是directlabels
具有“盒子”功能(即标签放置在盒子内)。看起来应该能够修改列表中的背景填充和边框颜色geom_dl
,但我无法让它工作。相反,我采用两个函数(draw.rects
and enlarge.box
) 来自直接标签网站;修改它们;并将修改后的函数与“top.bumptwice”方法结合起来。
draw.rects.modified <- function(d,...){
if(is.null(d$box.color))d$box.color <- NA
if(is.null(d$fill))d$fill <- "grey95"
for(i in 1:nrow(d)){
with(d[i,],{
grid.rect(gp = gpar(col = box.color, fill = fill),
vp = viewport(x, y, w, h, "cm", c(hjust, vjust=0.25), angle=rot))
})
}
d
}
enlarge.box.modified <- function(d,...){
if(!"h"%in%names(d))stop("need to have already calculated height and width.")
calc.borders(within(d,{
w <- 0.9*w
h <- 1.1*h
}))
}
boxes <-
list("top.bumptwice", "calc.boxes", "enlarge.box.modified", "draw.rects.modified")
ggmap(map.data) +
geom_point(data = df,aes(x = lon, y = lat),
alpha = 1, fill = "red", pch = 21, size = 6) +
labs(x = 'Longitude', y = 'Latitude') +
geom_dl(data = df, aes(label = labels), method = list(dl.trans(y = y + 0.3),
"boxes", cex = .8, fontface = "bold"))
为每个标签添加轮廓
另一种选择是使用这个方法为每个标签提供一个轮廓,尽管目前还不清楚它如何与直接标签一起使用。因此,需要手动调整坐标,或者在数据帧中搜索给定阈值内的坐标,然后进行调整。然而,在这里,我使用pointLabel
函数来自maptools
包装来定位标签。不能保证它每次都能工作,但我用你的数据得到了合理的结果。它内置了一个随机元素,因此您可以运行几次,直到获得合理的结果。另请注意,它将标签放置在基本图中。然后必须提取标签位置并将其加载到 ggplot/ggmap 中。
lat<- c(47.597157,47.656322,47.685928,47.752365,47.689297,47.628128,47.627071,47.586349,47.512684,47.571232,47.562283)
lon<-c(-122.312187,-122.318039,-122.31472,-122.345345,-122.377045,-122.370117,-122.368462,-122.331734,-122.294395,-122.33606,-122.379745)
labels<-c("Site 1A","Site 1B","Site 1C","Site 2A","Site 3A","Site 1D","Site 2C","Site 1E","Site 2B","Site 1G","Site 2G")
df<-data.frame(lat,lon,labels)
library(ggmap)
library(maptools) # pointLabel function
# Get map
map.data <- get_map(location = c(lon=-122.3485,lat=47.6200),
maptype = 'roadmap', zoom = 11)
bb = t(attr(map.data, "bb")) # the map's bounding box
# Base plot to plot points and using pointLabels() to position labels
plot(df$lon, df$lat, pch = 20, cex = 5, col = "red", xlim = bb[c(2,4)], ylim = bb[c(1,3)])
new = pointLabel(df$lon, df$lat, df$labels, pos = 4, offset = 0.5, cex = 1)
new = as.data.frame(new)
new$labels = df$labels
## Draw the map
map = ggmap(map.data) +
geom_point(data = df, aes(x = lon, y = lat),
alpha = 1, fill = "red", pch = 21, size = 5) +
labs(x = 'Longitude', y = 'Latitude')
## Draw the label outlines
theta <- seq(pi/16, 2*pi, length.out=32)
xo <- diff(bb[c(2,4)])/400
yo <- diff(bb[c(1,3)])/400
for(i in theta) {
map <- map + geom_text(data = new,
aes_(x = new$x + .01 + cos(i) * xo, y = new$y + sin(i) * yo, label = labels),
size = 3, colour = 'black', vjust = .5, hjust = .8)
}
# Draw the labels
map +
geom_text(data = new, aes(x = x + .01, y = y, label=labels),
size = 3, colour = 'white', vjust = .5, hjust = .8)