嗨,可视化爱好者,
我正在尝试创建一个彩色地图,如下所示: (来源:https://github.com/hrbrmstr/albersusa)
但是我希望这些地图有偏差,以便状态区域与我提供的值成比例(特别是,我使用GPD值)。 我的意思是,我希望有些州看起来更大,有些州看起来更小,实际上是但是尽可能地提醒真实的美国地图。 没有问题的状态移动或形状破坏。
有什么想法吗?任何现成的解决方 目前我使用R和albersusa包,因为它是我熟悉的东西。开放改变! 我目前的情节代码是:
gmap<-
ggplot() +
geom_map(data = counties@data, map = cmap,
aes(fill =atan(y/x),alpha=x+y, map_id = name),
color = "gray50") +
geom_map(data = smap, map = smap,
aes(x = long, y = lat, map_id = id),
color = "black", size = .5, fill = NA) +
theme_map(base_size = 12) +
theme(plot.title=element_text(size = 16, face="bold",margin=margin(b=10))) +
theme(plot.subtitle=element_text(size = 14, margin=margin(b=-20))) +
theme(plot.caption=element_text(size = 9, margin=margin(t=-15),hjust=0)) +
scale_fill_viridis()+guides(alpha=F,fill=F)
答案 0 :(得分:1)
使用<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
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包中的大纲和maps
中的一些数据操作,这是一个非常难看的第一次尝试让您入门。
dplyr
library(maps)
library(dplyr)
library(ggplot2)
# Generate the base outlines
mapbase <- map_data("state.vbm")
# Load the centroids
data(state.vbm.center)
# Coerce the list to a dataframe, then add in state names
# Then generate some random value (or your variable of interest, like population)
# Then rescale that value to the range 0.25 to 0.95
df <- state.vbm.center %>% as.data.frame() %>%
mutate(region = unique(mapbase$region),
somevalue = rnorm(50),
scaling = scales::rescale(somevalue, to = c(0.25, 0.95)))
df
# Join your centers and data to the full state outlines
df2 <- df %>%
full_join(mapbase)
df2
# Within each state, scale the long and lat points to be closer
# to the centroid by the scaling factor
df3 <- df2 %>%
group_by(region) %>%
mutate(longscale = scaling*(long - x) + x,
latscale = scaling*(lat - y) + y)
df3
这些轮廓并不是最好的,它们缩小的质心位置会导致多边形有时与原始状态轮廓重叠。但这是一个开始;你可以找到美国各州更好的形状和各种质心算法。