编辑:我后来意识到错误出在我的完整数据集中,而不是代码中。我很抱歉。这对其他人可能有用也可能没有用。
我有一个小标题,有一个名为“几何”的列,它是多边形(我使用的是 sf 空间包)。我正在尝试向作为每个多边形质心的小标题添加一列。但是,我收到一个错误:“mutate_impl(.data, dots) 中的错误:评估错误:没有适用于 'st_centroid' 的方法应用于“NULL”类的对象。” 我看过一些关于类似主题的其他帖子,但不是很相似,以至于我无法弄清楚。如果我错过了什么,我道歉!
我不熟悉使用管道和 tidyverse,所以那里可能出了点问题。任何帮助,将不胜感激!
这是我的代码示例:
center1 = function(df){
centroid = st_centroid(df)
}
table2 = x %>%
mutate(center.1 =map(geometry, center1))
这是我的数据的一个非常小的样本(只有一行)——x
代码中的变量(对不起长度!):我加载了 tidyverse、tibble、dplyr、purrr 和 sf。
x=structure(list(segnum = 428, system.time_start = 951350400000,
data = list(structure(list(id = c("1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1", "1",
"1", "1", "1", "1", "1", "1", "1", "1", "1", "1"), system.index = c(22L,
23L, 188L, 189L, 355L, 520L, 687L, 854L, 855L, 1022L, 1023L,
1187L, 1348L, 1349L, 1508L, 1509L, 1664L, 1665L, 1817L, 1818L,
1967L, 1968L, 23672L, 23673L, 23674L, 23821L, 23822L, 23823L,
23970L, 23974L, 24118L, 24119L, 24120L, 24121L, 24266L, 24267L,
24268L, 24416L, 24417L, 24418L, 24567L, 24568L, 24569L, 24721L,
24722L, 24875L, 24876L, 24877L, 24878L, 25033L, 25034L, 25035L,
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27661L, 27662L, 27663L, 27664L, 27665L, 27666L, 27667L, 27668L,
27669L, 27670L, 27823L, 27824L, 27832L, 27833L, 27834L),
b2_allPix = c(5705L, 5705L, 6080L, 6193L, 6707L, 6874L,
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5628L, 5861L, 5861L, 6468L, 3531L, 5505L, 5505L, 5276L,
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4956L, 5681L, 5505L, 5505L, 4405L, 6539L, 6539L, 6104L,
6104L, 5355L, 4509L, 4509L, 4305L, 4305L, 4309L, 3125L,
5681L, 5681L, 4262L, 4024L, 4024L), b2_cloudfilt = c(5705L,
5705L, 6080L, 6193L, 6707L, 6874L, 6874L, 5134L, 6874L,
5134L, 5134L, 4408L, 5658L, 4408L, 5658L, 5658L, 6077L,
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4609L, 4609L, 4609L, 4561L, 4733L, 5211L, 5211L, 5513L,
4475L, 4675L, 5076L, 5764L, NA, 6284L, 3369L, NA, NA,
NA, 7251L, 5270L, 6871L, 7251L, 4698L, 3321L, 6871L,
7276L, 5697L, 5018L, 6871L, 7276L, 7276L, 5697L, 5369L,
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3531L, 5505L, 5505L, 5276L, 6539L, 6104L, 5905L, 5905L,
5355L, 4593L, 4593L, 5143L, 4956L, 5681L, 5505L, 5505L,
4405L, 6539L, 6539L, 6104L, 6104L, 5355L, 4509L, 4509L,
4305L, 4305L, 4309L, 3125L, 5681L, 5681L, 4262L, 4024L,
4024L), .geo = c(NA, NA, NA, NA, NA, NA, NA, NA, NA,
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NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA)), .Names = c("id", "system.index", "b2_allPix",
"b2_cloudfilt", ".geo"), row.names = c(NA, -123L), class = c("tbl_df",
"tbl", "data.frame"))), meanSR = 0.55649243697479, cloud.pct = 3.2520325203252,
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