R ggplot地图在添加geom_点时移动

我正在尝试在我的lat/lon点中使用ggplot和分层创建地图

我毫无疑问地创建了美国地图，但当我在geom_point lat/lon位置分层时，美国地图缩小并发生变化。有人能告诉我为什么会这样吗

stateData <- map_data('state')
head(stateData)
us <- fortify(stateData, region = 'region')
gg <- ggplot() + geom_map(data  =  us, map = us,
                         aes(x = long, y = lat, map_id = region, group = group),
                         fill = 'white', color = 'black', size = 0.25) + 
  coord_map('albers', lat0 = 39, lat1 = 45) +
  theme_map()


gg + #add the data points with lon/lat declaring the columns
  geom_point(data=new_datav2, aes(x=lon, y=lat), color='red', alpha=0.15)  

---

通过查看您的图像，很明显您有一个红点，位于美国东北部。您提供的示例集中没有该点。我将模拟一个类似的异常值，但是代码应该修复投影问题

设置的点：

df_points <- 
structure(list(
    postalCode = c(94102, 94612, 94102, 94063, 0), 
    County = c("San Francisco County", "Alameda County", "San Francisco County", 
    "San Mateo County", "This_is_the_outlier"), 
    lat = c(37.77711868, 37.80508041, 
    37.77711868, 37.48450089, 40), 
    lon = c(-122.4196396, -122.2730713, 
    -122.4196396, -122.2277222, -10)), 
  row.names = c(NA, -5L), 
  class = c("tbl_df", "tbl", "data.frame"))

---

你好，ZHX。我不能重现你的错误。我得到了相同的地图对齐与否你的点。您首先加载了哪些软件包？谢谢您的回复。我加载了以下软件包（如果您需要其他信息或我的数据集，请告诉我）：库（dplyr）库（地图）库（mapproj）库（ggplot2）库（tidyverse）库（比例尺）库（传单）库（plyr）库（GGRINGS）库（HRBRTHEMS）库（fmsb）库（radarchart）库（forcats）库（ggthemes）我正在运行RStudio 1.4和R4.03。使用Windows 10。请参阅我编辑的文章，了解我在使用geom_point之前和使用geom_point之后的屏幕链接。你解决了它！你是最棒的！！！！非常感谢你，我一直在为这个问题绞尽脑汁。你能解释一下我为什么会遇到问题吗？我很高兴它奏效：）东北点是一个离群点，它迫使地图向东延伸。在coord_map（）的默认投影下，如此广阔的领土的矩形显示将始终显示“弯曲”的北美。想想那些覆盖北美和欧亚大陆的地图。

df_points <- 
structure(list(
    postalCode = c(94102, 94612, 94102, 94063, 0), 
    County = c("San Francisco County", "Alameda County", "San Francisco County", 
    "San Mateo County", "This_is_the_outlier"), 
    lat = c(37.77711868, 37.80508041, 
    37.77711868, 37.48450089, 40), 
    lon = c(-122.4196396, -122.2730713, 
    -122.4196396, -122.2277222, -10)), 
  row.names = c(NA, -5L), 
  class = c("tbl_df", "tbl", "data.frame"))

library(tidyverse)
library(maps)
library(mapproj)
library(ggthemes)

us <- fortify(stateData, region = 'region')
gg <- ggplot() + 
  geom_map(data  =  us, map = us,
           aes(x = long, y = lat, map_id = region, group = group),
           fill = 'white', color = 'black', size = 0.25) +
  coord_map('albers', lat0 = 39, lat1 = 45) +
  theme_map()

gg + #add the data points with lon/lat declaring the columns
  geom_point(data=df_points %>% filter(lon < -65), ## Here is where you filer the eastern outlier by excluding all data east of longitude 65W.
             aes(x=lon, y=lat), color='red', alpha=0.15) 

gg + #add the data points with lon/lat declaring the columns
  geom_point(data=df_points,
             aes(x=lon, y=lat), color='red', alpha=0.15) +
    coord_map(xlim = c(-130, -65)) # Here you crop the plotting images from 130W to 65W.