R 绘制带有几何点（纬度）注释1至19的ggmap。点数据位于CSVfile中

我正在使用

ggmap

和

ggplot2

使用

geom_point

进行绘图。我还想在点附近添加注释文本（即1到19）

这是我的密码：

setwd("../Documents/MAPS")
library(ggplot2)
library(mapproj)
library(maps)
library(maptools)
library(rgdal)
library(ggmap)
library(sp)

bdl_sites <- get_map(location  =c(lon = 34.832, lat = 0.852), colour = "colour",
                      source = "google", maptype = "terrain", zoom = 9)
save(bdl_sites, file = "bdl_sites.rda")
load(file = "bdl_sites.rda")
BDL_Org_Data.csv <- read.csv("BDL_Org_Data.csv")
BDL_Org_DataF.csv <- fortify(BDL_Org_Data.csv, region = "ORGANIZATION_ID")

ggmap(bdl_sites) +  
geom_point(data = BDL_Org_DataF.csv, aes(x = long, y = lat),
           colour = "red", size = 2, alpha = .5) +
annotate("text", x=BDL_Org_DataF.csv$long, y=BDL_Org_DataF.csv$lat,
         label = BDL_Org_DataF.csv$ORGANIZATION_ID, size = 2, position = "right") + 
labs(title = "MAP FOR BDL PROJECT SITES") +
labs(x = "Longitude", y = "Latitude")

---

这里有一种方法。我使用base R中的

transform

为文本注释创建了新的lat。我使用

geom_text

添加所需的标签。我使用

scale\u color\u discrete

更改图例的名称

library(ggmap)
library(ggplot2)

### Get a map
map <- get_map(location=c(lon=34.832, lat=0.852), color="color",
               source="google", maptype="terrain", zoom=9)

### Create new lat for annotation position             
mydf2 <- transform(mydf,lat2 = lat + 0.05)


ggmap(map) +
geom_point(data = mydf2, aes(x = long, y = lat, color = Name_of_Organization)) +
geom_text(data = mydf2, aes(x = long, y = lat2, label = ORGANIZATION_ID), size = 3) +
scale_colour_discrete(name  = "Name of Organization")

库（ggmap）
图书馆（GG2）
###拿张地图
我很感激爵士乐队的尝试。然而，它用彩色键打印地图。你能知道如何用数字制作相同的图例吗？例如“组织ID”如下：图例：点名称1=Kitale 2=Chereng'any 3=Kaplamai 4=Ndalu 5=Tongaren@WachiyeEmmanuel我更新了我的建议。如果要更改图例元素的顺序，也可以这样做。现在，顺序是按字母顺序排列的。
library(ggmap)
library(ggplot2)

### Get a map
map <- get_map(location=c(lon=34.832, lat=0.852), color="color",
               source="google", maptype="terrain", zoom=9)

### Create new lat for annotation position             
mydf2 <- transform(mydf,lat2 = lat + 0.05)


ggmap(map) +
geom_point(data = mydf2, aes(x = long, y = lat, color = Name_of_Organization)) +
geom_text(data = mydf2, aes(x = long, y = lat2, label = ORGANIZATION_ID), size = 3) +
scale_colour_discrete(name  = "Name of Organization")

mydf <- structure(list(ORGANIZATION_ID = 1:5, lat = c(0.988597, 0.981345, 
1.019304, 0.840672, 0.78183), long = c(35.124259, 35.219947, 
35.040037, 34.994145, 34.965753), Name_of_Organization = structure(c(3L, 
1L, 2L, 4L, 5L), .Label = c("2 = Chereng'any", "3 = Kaplamai", "1 = Kitale", 
"4 = Ndalu", "5 = Tongaren"), class = "factor")), .Names = c("ORGANIZATION_ID", 
"lat", "long", "Name_of_Organization"), class = "data.frame", row.names = c(NA, 
-5L))

#  ORGANIZATION_ID      lat     long Name_of_Organization
#1               1 0.988597 35.12426           1 = Kitale
#2               2 0.981345 35.21995      2 = Chereng'any
#3               3 1.019304 35.04004         3 = Kaplamai
#4               4 0.840672 34.99415            4 = Ndalu
#5               5 0.781830 34.96575         5 = Tongaren