【发布时间】:2018-03-08 19:12:10
【问题描述】:
我绘制了美国的等值线地图,并为每个州叠加了数据。现在我正在尝试将点添加到某些纬度和经度坐标,并认为将 geom_point 添加到我的 ggplot 可以解决问题。我认为我对 aes 的输入有一些问题,并且在弄清楚如何解决这个问题时遇到了很多麻烦。这是代码:
library(ggplot2)
library(fiftystater)
library(colorplaner)
library(RColorBrewer)
# prepare data frame
data("fifty_states")
df <- data.frame(state=tolower(rownames(USArrests)), USArrests)
names(df)[names(df)=='Murder'] <- 'Fake_Data'
names(df)[names(df)=='Assault'] <- 'Bucket'
df<-df[,-c(4:5)]
df$Fake_Data <- runif(nrow(df), 1,60)
df$Bucket = 0
for (i in 1:nrow(df)){
if(df[i, 2] <= 10){
df[i,3] = 1
} else if(df[i,2] > 10 & df[i,2] <= 20){
df[i,3] = 2
} else if(df[i,2] > 20 & df[i,2] <= 30){
df[i,3]= 3
} else if(df[i,2] > 30 & df[i,2] <= 40){
df[i,3] = 4
} else if(df[i,2] > 40 & df[i,2] <= 50){
df[i,3] = 5
}
else if(df[i,2] > 50)
df[i,3]=6
}
p <- ggplot(df, aes(map_id = state)) +
# map points to the fifty_states shape data
geom_map(aes(fill = factor(Bucket)), map = fifty_states, color = 'gray') +
expand_limits(x = fifty_states$long, y = fifty_states$lat) +
coord_map() +
scale_x_discrete(breaks = NULL) +
scale_y_discrete(breaks = NULL) +
labs(x = "", y = "") +
theme(legend.position = "right",
panel.background = element_blank())
labs <- data.frame(long = c(-122.064873,-122.306417),
lat = c(36.951968,47.644855),
names = c('lab', 'Seattle'), stringsAsFactors = FALSE)
p + fifty_states_inset_boxes()+
scale_fill_manual('Fake Data Percentages',
values = c('#fef0d9', '#fdd49e', '#fdbb84', '#fc8d59', '#e34a33',
'#b30000'),
labels = c('0-10','10-20','20-30','30-40','40-50','50-60'))+
geom_point(data = labs, aes(x=long, y=lat),
color = 'black', size = 5) +
geom_point(data = labs, aes(x=long, y=lat),
color = 'blue', size = 4)
我尝试用map_id = state 和简单的x=long, y=lat 替换geom_point 中的x 和y 值。但没有运气。我得到的错误是:
Error in FUN(X[[i]], ...) : object 'state' not found
任何帮助将不胜感激!
【问题讨论】:
-
顺便说一句,您不应该在审美调用中使用声明数据框。我已经编辑了这个给你看。即它是
data = labs, aes(x=long, y=lat)而不是data = labs, aes(x=labs$long, y=labs$lat)。这可能会在地块内产生一些问题 -
有趣,我不知道。你知道你脑海中可能发生的事情的例子吗?
-
这解释了一些问题:stackoverflow.com/q/32543340/7347699
标签: r ggplot2 choropleth