新手使用csv文件绘制R中地图上的坐标

Question

我是r的新手，并且已经花了好几个小时在亚利桑那州的地图上绘制一系列蝴蝶的点。我可能完全错了或有一些遗漏我不确定，任何帮助将不胜感激！

我现在有以下代码并尝试了许多其他代码：

rio = read.csv("Rioninidae_Cleaned.csv",stringsAsFactors = FALSE)
arizona <- get_googlemap(center=c(lon=-110.713,lat=31.815), zoom = 3)
lon <-data.frame(rio$latitude)
lat <-data.frame(rio$longitude)
df <- as.data.frame(cbind(lon,lat))
df
arizona <- get_googlemap(center = c(lon = -110.713,lat = 31.815), zoom = 3)
ggmap(arizona) +
  geom_point(data = df, aes(x = lon, y = lat), size = 5, shape = 21) +
  guides(fill = FALSE, alpha = FALSE, size = FALSE)

我的csv文件位于：https://www.dropbox.com/s/yxj1uvmt9bw8gvn/Rioninidae_Cleaned.csv?dl=0

       genus province         county latitude longitude
1   Apodemia  Arizona         Apache 33.90011 -109.5844
2   Apodemia  Arizona Cochise County 31.46260 -110.2895
3   Apodemia  Arizona Cochise County 31.46260 -110.2895
4   Apodemia  Arizona    Santa Cruz  31.50503 -110.6547
5     Emesis  Arizona     Santa Cruz 31.74001 -110.9411
6     Emesis  Arizona     Santa Cruz 31.74001 -110.9411
7     Emesis  Arizona     Santa Cruz 31.38333 -111.0833
8   Apodemia  Arizona     Santa Cruz 31.38333 -111.0833
9 Calephelis  Arizona           Pima 31.76667 -111.5500

谢谢！

Answer 1

我猜你可能正在寻找类似的东西。

library(ggmap)
library(ggplot2)

# Get a map
arizona <- get_map(location = c(lon = -110.713, lat = 31.815), zoom = 6)

ggmap(arizona) +
geom_point(data = mydf, aes(x = longitude, y = latitude, fill = genus), size = 3, shape = 21)

DATA

mydf <- structure(list(genus = structure(c(1L, 1L, 1L, 1L, 3L, 3L, 3L, 
1L, 2L), .Label = c("Apodemia", "Calephelis", "Emesis"), class = "factor"), 
province = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L
), .Label = "Arizona", class = "factor"), county = structure(c(1L, 
2L, 2L, 5L, 4L, 4L, 4L, 4L, 3L), .Label = c("Apache", "Cochise County", 
"Pima", "Santa Cruz", "Santa Cruz "), class = "factor"), 
latitude = c(33.9001056, 31.4625978, 31.4625978, 31.5050272, 
31.7400056, 31.7400056, 31.38333333, 31.38333333, 31.76666667
), longitude = c(-109.58444, -110.2895241, -110.2895241, 
-110.65472, -110.94111, -110.94111, -111.0833333, -111.0833333, 
-111.55)), .Names = c("genus", "province", "county", "latitude", 
"longitude"), class = "data.frame", row.names = c(NA, -9L))