将data.frame转换为SpatialPolygonsDataFrame

以下是用于可复制目的的数据：

  structure(list(countyfp10 = c(1, 1, 1, 1, 3, 3, 3, 3, 5, 5, 5, 
5, 7, 7, 7, 7), id = c(7417, 7418, 7419, 7420, 7421, 7422, 7423, 
7424, 7425, 7426, 7427, 7428, 7429, 7430, 7431, 7432), lat = c(39.4797245, 
39.5544678, 39.4681687, 39.199806, 39.4017623, 39.3093943, 39.4272021, 
39.5618129, 39.7934997, 39.4835134, 39.4989196, 39.4819145, 39.4727694, 
39.4675515, 39.4693146, 39.4644503), long = c(-118.7908571, -118.8095638, 
-118.8195712, -118.5429041, -118.754186, -118.8861865, -118.9729817, 
-117.9418517, -118.9516281, -118.8487913, -119.0205114, -118.7695846, 
-118.7938896, -118.76011, -118.7778707, -118.7902103)), class = c("spec_tbl_df", 
"tbl_df", "tbl", "data.frame"), row.names = c(NA, -16L), spec = structure(list(
    cols = list(countyfp10 = structure(list(), class = c("collector_double", 
    "collector")), id = structure(list(), class = c("collector_double", 
    "collector")), lat = structure(list(), class = c("collector_double", 
    "collector")), long = structure(list(), class = c("collector_double", 
    "collector"))), default = structure(list(), class = c("collector_guess", 
    "collector")), skip = 1), class = "col_spec"))

---

这当前存储为data.frame，但我想将其转换为SpatialPolygonsDataFrame。最好的方法是什么？

如评论中所述，sf是最方便使用的软件包，下面是一个示例

请注意，数据集被修改为形成闭合多边形，如果我们尝试使用原始数据，它会抛出错误

data = tibble(countyfp10 = c(1, 1, 1, 1,1, 3, 3, 3, 3,3, 5, 5, 5,5,
                              5, 7, 7, 7, 7,7), id = c(7413,7414,7415,7416,7417, 7418, 7419, 7420, 7421, 7422, 7423, 
                                                     7424, 7425, 7426, 7427, 7428, 7429, 7430, 7431, 7432), lat = c(39.4797245, 
                                                                                                                    39.5544678, 39.4681687, 39.199806,39.4797245, 39.4017623, 39.3093943, 39.4272021, 
                                                                                                                    39.5618129,39.4017623, 39.7934997, 39.4835134, 39.4989196, 39.4819145,39.7934997, 39.4727694, 
                                                                                                                    39.4675515, 39.4693146, 39.4644503,39.4727694), lng = c(-118.7908571, -118.8095638, 
                                                                                                                                                                  -118.8195712, -118.5429041,-118.7908571, -118.754186, -118.8861865, -118.9729817, 
                                                                                                                                                                  -117.9418517,-118.754186, -118.9516281, -118.8487913, -119.0205114, -118.7695846,-118.9516281, 
                                                                                                                                                                  -118.7938896, -118.76011, -118.7778707, -118.7902103,-118.7938896))

cords = data%>%
  select(countyfp10,lng,lat)%>%
  mutate(lng = as.numeric(lng),
         lat = as.numeric(lat))%>%
  group_by(countyfp10)%>%
  summarise(coordinates = list(list(matrix(c(lng,lat),ncol = 2)))) %>%
  .$coordinates %>%
  lapply(.,st_polygon) %>%
  st_sfc(.)

cords %>% 
  leaflet() %>%
  addTiles()%>%
  addPolygons()

我已经为此开发了sfheaders库

devtools::install_github("dcooley/sfheaders")
library(sfheaders)

sf <- sfheaders::sf_polygon(
    obj = df
    , x = "long"
    , y = "lat"
    , polygon_id = "countyfp10"
)

---

它必须是一个空间多边形数据帧，还是一个简单的特征对象sf，它是sp的继承者？而且，与其“打印”数据，不如使用dputdf的输出。这样我们就可以简单地复制粘贴您的数据了。@SymbolXau谢谢，只需编辑它。如果sf完成了同样的事情，我想它不需要是空间多边形框架？只要传单功能可以阅读，谢谢，但我一直收到这个错误消息：下载GitHub repo dcooley/sfheaders@master错误：无法从GitHub安装“sfheaders”：找不到编译包调用“pkgbuild:：check_build_toolsdebug=TRUE”以诊断问题所需的工具。奇怪。。。你运行过pkgbuild:：check_build_toolsdebug=TRUE吗？我将进入以下页面：@Sada93是的，如果你尝试使用sf:：st_多边形构造函数构造它，它将出错。但是，有一些方法可以解决geo@Sada93我已经把你的评论放在黑板上了，在下一个版本中，我将强制默认关闭多边形，但是你也可以覆盖它-

library(leaflet)
leaflet() %>%
    addTiles() %>%
    addPolygons(data = sf)