使用ggplot2创建choropleth。这是ggplot代码
okc <- ggplot() +
geom_polygon(data = mapdata, aes(x = long, y = lat, group = group,
fill = B19013_001), color = "black", size = 0.5)+
scale_fill_distiller(palette = "Reds", labels = comma,
breaks = pretty_breaks(n = 10), values = c(1,0)) +
guides(fill = guide_legend(reverse = TRUE)) +
theme_nothing(legend = TRUE) +
ggtitle('Map of 40109')
这是来自mapdata的数据样本:
long lat order hole piece group id
1 -97.54285 35.51951 1 FALSE 1 40109100100.1 40109100100
2 -97.54282 35.51954 2 FALSE 1 40109100100.1 40109100100
3 -97.54280 35.51963 3 FALSE 1 40109100100.1 40109100100
4 -97.54276 35.51976 4 FALSE 1 40109100100.1 40109100100
5 -97.54270 35.51993 5 FALSE 1 40109100100.1 40109100100
6 -97.54266 35.52016 6 FALSE 1 40109100100.1 40109100100
NAME state county tract B19013_001
1 Census Tract 1001, Oklahoma County, Oklahoma 40 109 100100 33440
2 Census Tract 1001, Oklahoma County, Oklahoma 40 109 100100 33440
3 Census Tract 1001, Oklahoma County, Oklahoma 40 109 100100 33440
4 Census Tract 1001, Oklahoma County, Oklahoma 40 109 100100 33440
5 Census Tract 1001, Oklahoma County, Oklahoma 40 109 100100 33440
6 Census Tract 1001, Oklahoma County, Oklahoma 40 109 100100 33440
它产生了这个情节。
我还使用ggmap创建了一个道路地图。这是代码:
map <- get_map(location = c(lon = mean(mapdata$lon), lat = mean(mapdata$lat))
, zoom = 10
, maptype = "roadmap"
, color = "bw")
p <- ggmap(map) +
scale_x_continuous(limits = c(min(mapdata$lon), max(mapdata$lon)), expand = c(0, 0)) +
scale_y_continuous(limits = c(min(mapdata$lat), max(mapdata$lat)), expand = c(0, 0))
p
这是它产生的地图。
当我尝试将它们组合起来时,虽然我收到错误。这是我用来组合它们和错误的代码:
okc <- okc + p
Error in p + o : non-numeric argument to binary operator
In addition: Warning message:
Incompatible methods ("+.gg", "Ops.data.frame") for "+"
我不确定为什么我会收到此错误。是因为地图的缩放比例不一样吗?除了使用非常不精确的缩放功能之外,我无法想象如何缩放ggmap。 如果有人对如何在ggmap上叠加等值区有任何想法,我将非常感激。
这里是剩下的代码,用于重新创建ggplot等值线。
library(acs)
library(ggplot2)
library(ggmap)
library(UScensus2010)
library(RColorBrewer)
library(dplyr)
library(scales)
#http://api.census.gov/data/key_signup.html
api.key.install(key="c369cd6ed053a84332caa62301eb8afe98bed825")
# Load in Shape File (You'll need to download this file from the census)
#ftp://ftp2.census.gov/geo/tiger/TIGER2013/TRACT/tl_2013_40_tract.zip
## load, subset shapefile
geodat<-readShapePoly("insert shapefile here", proj4string=CRS('+proj=longlat +datum=NAD83'))
geodat<-geodat[geodat$COUNTYFP==109,]
## fortify for ggplot digestion
geodat.f<-fortify(geodat,region="GEOID")
# American Community Survey Data: Median HH Income for OK Census Tracts
ok.counties=geo.make(state="OK", county="Oklahoma", tract="*")
ok.income<-acs.fetch(geography=ok.counties, table.number="B19013", endyear=2013)
# Merge Data Sets
geo_dat<-geography(ok.income)
var_dat<-as.data.frame(estimate(ok.income))
acs_data<-cbind(geo_dat,var_dat)
acs_data$id<- paste("40109", acs_data$tract, sep = "")
## from dplyr
mapdata<-left_join(geodat.f,acs_data)
okc <- ggplot() +
geom_polygon(data = mapdata, aes(x = long, y = lat, group = group,
fill = B19013_001), color = "black", size = 0.5)+
scale_fill_distiller(palette = "Reds", labels = comma,
breaks = pretty_breaks(n = 10), values = c(1,0)) +
guides(fill = guide_legend(reverse = TRUE)) +
theme_nothing(legend = TRUE) +
ggtitle('Map of OKC')
答案 0 :(得分:3)
这实际上在Leaflet中做得更好。它看起来更美观,代码也更直观。
library(leaflet)
library(rgdal)
library(RColorBrewer)
pal <- colorNumeric("OrRd", domain = new$pct_minority_popn)
leaflet(mapdata) %>%
addTiles %>%
addPolygons(stroke=T, fillOpacity=.5, smoothFactor=.5, color=~pal(B19013_001)) %>%
addLegend("bottomright", pal=pal, values=~B19013_001, title="Legend Title", opacity=.8)
您可以通过将addTiles命令替换为addProviderTiles(&#34; CartoDB.Positron&#34;)来更改底部地图。您可以在https://rstudio.github.io/leaflet/basemaps.html
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