2013-03-09 47 views
5

我試圖在R中使用ggplot2生成一個世界地圖。我想顯示來自巴西國家的人均GDP。有2個問題:格式化ggplot2地圖

  1. 在國家中心有兩個標籤不容易讀取信息。它們重疊。減少數字未解決。

  2. 我想改變顏色符號,不知道如何訪問它。我想用顏色來容易地注意到GDP的差異。

我的數據是: https://docs.google.com/file/d/0B_coFit6AovfcEFkbHBjZEJaQ1E/edit

這裏是我的代碼:

library(maptools) 
gpclibPermit() 
library(ggplot2) 
library(rgdal) 
library(rgeos) 
library(ggmap) 


# read administrative boundaries (change folder appropriately) 
brMap <- readShapePoly("BRASIL.shp") 
brMap 

# read downloaded data (change folder appropriately) 
brRen <- read.csv("Renda.csv", sep = ";", quote = "\"", dec=".", stringsAsFactors = FALSE) 
brRen$rendapc <- as.numeric(as.character(brRen$rendapc)) # format as numeric 

#convert shp to UTF8 
library(descr) 
brMap$ESTADO<-toUTF8(brMap$ESTADO, "IBM850") 

# convert shp data to data frame for ggplot 
as.data.frame(brMap) # para definir a region 
brMap = gBuffer(brMap, width=0, byid=TRUE) #correct problem with Polygons - TopologyException 
brMapDf <- fortify(brMap, region="UF") 
brMapDf 


# merge map and data 
brRenMapDf <- merge(brMapDf, brRen, by.x="id", by.y="Iden") 
brRenMapDf <- brRenMapDf[order(brRenMapDf$order),] 

# limit data to main Europe 
brazil.limits <- geocode(c("Monte Caburaí", "Barra do Chuí", "Serra do Divisor", "Ilhas Martin Vaz")) 
brRenMapDf <- subset(brRenMapDf, long > min(brazil.limits$lon) & long < max(brazil.limits$lon) & lat > min(brazil.limits$lat) & lat < max(brazil.limits$lat)) 

# ggplot mapping 
# data layer 
m0 <- ggplot(data=brRenMapDf) 
# empty map (only borders) 
m1 <- m0 + geom_path(aes(x=long, y=lat, group=group), color='gray') + coord_equal() 
m1 

# fill with education expenditure data 
m2 <- m1 + geom_polygon(aes(x=long, y=lat, group=group, fill=rendapc)) 
m2 


# inverse order (to have visible borders) 
m0 <- ggplot(data=brRenMapDf) 
m1 <- m0 + geom_polygon(aes(x=long, y=lat, group=group, fill=rendapc)) + coord_equal() 
m2 <- m1 + geom_path(aes(x=long, y=lat, group=group), color='black') 
m2 


# over a GoogleMap (not working if not correctly projected) 
map <- get_map(location = 'Brazil', zoom=4) 
m0 <- ggmap(map) 
m1 <- m0 + geom_polygon(aes(x=long, y=lat, group=group, fill=rendapc), data=brRenMapDf, alpha=.9) 
m2 <- m1 + geom_path(aes(x=long, y=lat, group=group), data=brRenMapDf, color='black') 
m2 


# add text 
library(doBy) 
txtVal <- summaryBy(long + lat + rendapc ~ id, data=brRenMapDf, FUN=mean, keep.names=T) 
m3 <- m2 + geom_text(aes(x=long, y=lat, label=rendapc), data=txtVal, col="yellow", hjust=0.5, vjust=0.5, cex=3) 
m3 

我的結果,我想提高:

enter image description here

+0

Whay約SVG圖形的標籤?有用嗎? – 2013-03-09 22:07:52

回答

5

至於改變色度,ggplot2有統一的處理方法CALES。您正在查找的功能始終採用格式scale_{which_scale}_{scale_type},其中which_scale是一種審美(您在aes()中使用的內容,例如fillsize),而scale_type可以是連續的或離散的等。如果您想要調整fill比例是scale_fill_continuous,scale_fill_gradientscale_fill_gradient2。看看這些功能的文檔。

A碼例如:

m2 <- m1 + geom_polygon(aes(x=long, y=lat, group=group, fill=rendapc)) 
m2 + scale_fill_gradient(low = "blue", high = "red") 
+0

非常感謝您的幫助! – user2152340 2013-03-09 23:09:28