将图例/文本表添加到具有多个图层的ggmap

时间:2015-01-01 10:54:51

标签: r ggplot2 ggmap

我正在绘制一条路线并指向ggmap,我需要添加一个图例来列出这些点代表的名称 即

1比尔哈里斯, 2安妮琼斯 等。

我准备了样本数据。

structure(list(business.names = structure(c(8L, 9L, 5L, 6L, 7L, 
1L, 4L, 3L, 2L, 10L), .Label = c("Bill Harris", "Anne Jones", 
"Sue Perkins", "Morris Jones", "Bert Harris", "Bob Jones", 
"Mike Taylor", "Paul Jones", "John Roberts", 
"Fred Morris"), class = "factor"), X1 = structure(c(7L, 
8L, 10L, 9L, 3L, 2L, 1L, 4L, 5L, 6L), .Label = c("53.186744", 
"53.1884117", "53.1894004", "53.189836", "53.1902965", "53.1905138631287", 
"53.1912196", "53.1916771", "53.193418", "53.1934748"), class = "factor"), 
    X2 = structure(c(7L, 3L, 2L, 1L, 5L, 4L, 6L, 10L, 9L, 8L), .Label = c("-2.881248", 
    "-2.8814698", "-2.8846099", "-2.88802", "-2.8886692", "-2.890165", 
    "-2.8902453", "-2.89043889005541", "-2.8919373", "-2.893896"
    ), class = "factor")), .Names = c("business.names", "X1", 
"X2"), row.names = c(10L, 9L, 8L, 1L, 7L, 6L, 3L, 4L, 5L, 2L), class = "data.frame")

这是我迄今为止的代码。请注意,对于geom_path和geom.route,Size&颜色参数在AES功能之外。我无需根据数据调整大小或颜色。如果我放置尺寸&进入AES功能的颜色我确实得到了一个传奇,但它不是我想要的。它使用的是点数据而不是商业名称。

我甚至不确定传奇是否是最好的方式。我只需要在一张简单的表格中显示图表上显示的数据。

create.map<-function(lst){
  require("ggmap")
  require("qmap")
  way.points<-data.frame(lapply(lst[,1:3], as.character), stringsAsFactors=FALSE)
  rte.from   <- apply(way.points[-nrow(way.points),2:3],1,paste,collapse=",")
  rte.to     <- apply(way.points[-1,2:3],1,paste,collapse=",")
  rte        <- do.call(rbind,
                      mapply(route, rte.from, rte.to, SIMPLIFY=FALSE,
                             MoreArgs=list(mode="walking",structure="legs")))


  map.centre<-c(mean(as.numeric(way.points$X2)),mean(as.numeric(way.points$X1)))

  coords   <- rbind(as.matrix(rte[,7:8]),as.matrix(rte[nrow(rte),9:10]))
  coords   <- as.data.frame(coords)

  ggm <- qmap(location=map.centre,zoom = 15, maptype = "road", legend="topright")  

  ggm +
    geom_path(data=coords,aes(x=startLon,y=startLat),color="blue",size=2)+
    geom_point(data=way.points,aes(x=as.numeric(X2),y=as.numeric(X1)),
               size=10,color="yellow")+
    geom_text(data=way.points,
              aes(x=as.numeric(X2),y=as.numeric(X1), label=seq_along(X1)))

}

1 个答案:

答案 0 :(得分:8)

这是一种可能性。您可能希望安排商家名称并再次使用geom_point来创建图例。在此geom_point中,您使用alpha = 0。因此,你真的没有看到任何观点;你只看到第一个geom_point中指定的黄点。在这里,您的数据称为mydf

foo <- mutate(mydf, business.names = paste(seq_along(X1), business.names, sep = " "))

#   business.names               X1                X2
#1    1 Paul Jones       53.1912196        -2.8902453
#2  2 John Roberts       53.1916771        -2.8846099
#3   3 Bert Harris       53.1934748        -2.8814698
#4     4 Bob Jones        53.193418         -2.881248
#5   5 Mike Taylor       53.1894004        -2.8886692
#6   6 Bill Harris       53.1884117          -2.88802
#7  7 Morris Jones        53.186744         -2.890165
#8   8 Sue Perkins        53.189836         -2.893896
#9    9 Anne Jones       53.1902965        -2.8919373
#10 10 Fred Morris 53.1905138631287 -2.89043889005541

create.map<-function(lst){
require("ggmap")
require("qmap")
way.points <-data.frame(lapply(lst[,1:3], as.character), stringsAsFactors=FALSE)
rte.from <- apply(way.points[-nrow(way.points),2:3],1,paste,collapse=",")
rte.to <- apply(way.points[-1,2:3],1,paste,collapse=",")
rte <- do.call(rbind,
               mapply(route, rte.from, rte.to, SIMPLIFY=FALSE,
                      MoreArgs=list(mode="walking",structure="legs")))


map.centre<-c(mean(as.numeric(way.points$X2)),mean(as.numeric(way.points$X1)))

coords <- rbind(as.matrix(rte[,7:8]),as.matrix(rte[nrow(rte),9:10]))
coords <- as.data.frame(coords)

ggm <- qmap(location=map.centre,zoom = 15, maptype = "road", legend="topright")  

ggm +
geom_path(data=coords,aes(x=startLon,y=startLat),color="blue",size=2)+
geom_point(data=way.points,aes(x=as.numeric(X2),y=as.numeric(X1)),
           size=10,color="yellow")+
geom_point(data=way.points,aes(x=as.numeric(X2),y=as.numeric(X1),
           color = factor(business.names, levels=business.names)), alpha = 0) +
geom_text(data=way.points,
          aes(x=as.numeric(X2),y=as.numeric(X1), label=seq_along(X1))) +
scale_color_discrete(name = "Business names") +
theme(legend.key = element_rect(fill = NA))

}

create.map(foo)

enter image description here