2012-11-16 121 views
6

我想繪製一些信息,顯示全部人口,然後在地圖上顯示該人口的子集。我已經看到使用同心圓或三維倒錐體傳達這一點的數據可視化。我只是無法弄清楚如何做到這一點的ggplot/ggmapR ggplot2/ggmap同心圓爲點

下面是Paint放開手腳版本,顯示的就是我希望做一個粗略的想法: enter image description here

這裏有一個粗略的一塊的數據爲例:

> dput(df1) 
structure(list(zip = c("00210", "00653", "00952", "02571", "04211", 
"05286", "06478", "07839", "10090", "11559"), city = c("Portsmouth", 
"Guanica", "Sabana Seca", "Wareham", "Auburn", "Craftsbury", 
"Oxford", "Greendell", "New York", "Lawrence"), state = c("NH", 
"PR", "PR", "MA", "ME", "VT", "CT", "NJ", "NY", "NY"), latitude = c(43.005895, 
17.992112, 18.429218, 41.751554, 44.197009, 44.627698, 41.428163, 
41.12831, 40.780751, 40.61579), longitude = c(-71.013202, -66.90097, 
-66.18014, -70.71059, -70.239485, -72.434398, -73.12729, -74.678956, 
-73.977182, -73.73126), timezone = c(-5L, -4L, -4L, -5L, -5L, 
-5L, -5L, -5L, -5L, -5L), dst = c(TRUE, FALSE, FALSE, TRUE, TRUE, 
TRUE, TRUE, TRUE, TRUE, TRUE), totalPop = c(43177, 37224, 37168, 
15492, 1614, 88802, 2587, 80043, 78580, 87461), subPop = c(42705, 
36926, 27556, 10827, 774, 39060, 1542, 21304, 53438, 2896)), .Names = c("zip", 
"city", "state", "latitude", "longitude", "timezone", "dst", 
"totalPop", "subPop"), row.names = c(1L, 50L, 200L, 900L, 1500L, 
2000L, 2500L, 3000L, 3500L, 4000L), class = "data.frame") 

有什麼建議嗎?

回答

10

的基本思路是使用單獨的geoms兩個羣體,確保較小的一個之後較大的一個繪製的,所以它的層之上:

library(ggplot2) # using version 0.9.2.1 
library(maps) 

# load us map data 
all_states <- map_data("state") 

# start a ggplot. it won't plot til we type p 
p <- ggplot() 

# add U.S. states outlines to ggplot 
p <- p + geom_polygon(data=all_states, aes(x=long, y=lat, group = group), 
    colour="grey", fill="white") 

# add total Population 
p <- p + geom_point(data=df1, aes(x=longitude, y=latitude, size = totalPop), 
    colour="#b5e521") 

# add sub Population as separate layer with smaller points at same long,lat 
p <- p + geom_point(data=df1, aes(x=longitude, y=latitude, size = subPop), 
    colour="#00a3e8") 

# change name of legend to generic word "Population" 
p <- p + guides(size=guide_legend(title="Population")) 

# display plot 
p 

enter image description here

從地圖,很明顯,您的數據包含非連續美國地區,在這種情況下,您可能需要不同的底層地圖數據。 get_map()ggmap包提供幾個選項:

require(ggmap) 
require(mapproj) 
map <- get_map(location = 'united states', zoom = 3, maptype = "terrain", 
     source = "google") 
p <- ggmap(map) 

後其中添加的總和子種羣geom_point()層和用作前顯示它。

+0

太好了。非常感謝你。 – screechOwl

+0

此鏈接使用類似的方法在各州之間創建熱圖http://www.dataincolour.com/2011/07/maps-with-ggplot2/ – chandler