3

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, 
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    1187L, 1348L, 1349L, 1508L, 1509L, 1664L, 1665L, 1817L, 1818L, 
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    23970L, 23974L, 24118L, 24119L, 24120L, 24121L, 24266L, 24267L, 
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    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, 
        6874L, 5134L, 6874L, 5134L, 5134L, 4408L, 5658L, 4408L, 
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        7276L, 7276L, 5697L, 5369L, 7082L, 7283L, 6991L, 6991L, 
        4657L, 5062L, 7342L, 5032L, 6991L, 5676L, 7120L, 3686L, 
        5421L, 5929L, 5945L, 5945L, 5366L, 5929L, 5634L, 5366L, 
        5366L, 5100L, 5664L, 5664L, 5013L, 6012L, 6012L, 6145L, 
        5628L, 5861L, 5861L, 6468L, 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), b2_cloudfilt = c(5705L, 
        5705L, 6080L, 6193L, 6707L, 6874L, 6874L, 5134L, 6874L, 
        5134L, 5134L, 4408L, 5658L, 4408L, 5658L, 5658L, 6077L, 
        5658L, 7352L, 6331L, 6312L, 4065L, 4640L, 5626L, 5626L, 
        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, 
        7082L, 7283L, 6991L, 6991L, 4657L, 5062L, 7342L, 5032L, 
        6991L, 5676L, 7120L, 3686L, 5421L, 5929L, 5945L, 5945L, 
        5366L, 5929L, 5634L, 5366L, 5366L, 5100L, 5664L, 5664L, 
        5013L, 6012L, 6012L, 6145L, 5628L, 5861L, 5861L, 6468L, 
        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, 
        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, 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, 
    id = structure(366L, .Label = c("1", "10", "100", "101", 
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4

2 回答 2

1

你不能只是这样做:

x$centroid <- st_centroid(x$geometry)
于 2018-01-28T02:30:29.260 回答
1

你是table$geometry里面的例子map。相反,使用geometry.

table2 = x %>%
  mutate(center.1 = map(geometry, center1))
于 2018-01-25T22:36:48.413 回答