编辑：我后来意识到错误发生在我的完整数据集中，而不是代码中。我很抱歉。这可能对其他人有用，也可能没用。
我有一个叫做几何＆＃39;几何＆＃39;这是多边形（我使用sf空间包）。我正在尝试向每个多边形的质心的tibble添加一列。但是，我收到一个错误：＆＃34; mutate_impl（.data，dots）中的错误： 评估错误：没有适用于＆＃39; st_centroid＆＃39;应用于类的对象＆＃34; NULL＆＃34;。＆＃34;我已经看过一些关于类似主题的其他帖子，但不太相似，我无法弄明白。如果我错过了什么，我道歉！
我是新手使用烟斗和tidyverse，所以也许出现了问题。任何帮助将不胜感激！
以下是我的代码示例：
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） - 代码中的变量x（对不起长度！）：我有tidyverse，tibble，dplyr，purrr和sf加载。
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",
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"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",
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23970L, 23974L, 24118L, 24119L, 24120L, 24121L, 24266L, 24267L,
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27661L, 27662L, 27663L, 27664L, 27665L, 27666L, 27667L, 27668L,
27669L, 27670L, 27823L, 27824L, 27832L, 27833L, 27834L),
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6104L, 5355L, 4509L, 4509L, 4305L, 4305L, 4309L, 3125L,
5681L, 5681L, 4262L, 4024L, 4024L), b2_cloudfilt = c(5705L,
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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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3509084.60042361, 3509140.09612346, 3509880.48891173, 3509927.74213903,
3509973.78091383, 3510018.48002715, 3510061.71791341, 3510103.37698102,
3510143.34393226, 3510181.51007132, 3510217.77159996, 3510252.02989982,
3510690.52476793, 3510815.00951441, 3510842.18607523, 3510893.85572673,
3510944.90177956, 3510995.18235748, 3511044.55771178, 3511283.84077009,
3511333.11544703, 3511381.16374892, 3511427.84681345, 3511473.02972394,
3511516.58189923, 3511558.3774711, 3511598.29564798, 3511636.22106409,
3511672.04411285, 3511705.66126363, 3512045.00144965, 3512071.21909451,
3512095.79001438, 3512118.66505214, 3512377.40266854, 3512401.36828343,
3512423.00520283, 3512442.25709944, 3512459.07385487, 3512473.41169012,
3512599.54988398, 3512725.73843943, 3512816.68020058, 3512828.79024037,
3512838.21800158, 3512844.93764336, 3512848.93074764, 3512850.1863696,
3512848.70106767, 3512844.47891295, 3512837.53147809, 3512827.87780551,
3512815.54435526, 3512800.56493247, 3512782.9805947, 3512762.8395394,
3512740.1969718, 3512715.11495359, 3512687.66223286, 3512657.9140556,
3512625.95195949, 3512591.86355042, 3512555.74226235, 3512517.68710122,
3512477.80237358, 3512436.1974007, 3512392.98621891, 3512348.28726707,
3512302.22306188, 3512254.91986215, 3512206.50732264, 3512157.11813876,
3512106.88768284, 3512055.95363306, 3512004.45559611, 3511952.53472453,
3511900.33332983, 3511847.99449239, 3511795.66166933, 3511743.47830129,
3511691.58741924, 3511640.13125249, 3511589.25083882, 3511539.08563789,
3511489.77314905, 3511441.44853439, 3511394.24424832, 3511348.28967451,
3511303.71077126, 3511260.62972624, 3511219.16462159, 3511179.42911029,
3511141.53210462, 3511105.57747763, 3511071.66377845, 3511039.88396217,
3511010.32513508, 3510983.06831584, 3510958.18821352, 3510935.75302274,
3510915.8242368, 3510898.45647912, 3510883.69735351, 3510792.73940379,
3510666.48348438, 3510573.18097659, 3510410.62725267, 3510359.71088898,
3510346.30180244, 3510295.28628702, 3510244.43513991, 3510193.8808925,
3510143.75530242, 3510094.18901006, 3510045.31119817, 3509997.2492551,
3509950.12844288, 3509904.07157067, 3509859.19867475, 3509815.62670561,
3509773.46922323, 3509732.83610104, 3509693.83323959, 3509656.56229055,
3509621.12039177, 3509587.59991412, 3509148.97695164, 3508862.67745905,
3508423.94873738, 3507829.76561245, 3507780.58151901, 3507732.11762492,
3507684.49925328, 3507637.84954076, 3507592.28911916, 3507547.93580348,
3507504.90428726, 3507463.30584599, 3507423.24804936, 3507384.83448309,
3507348.16448108, 3507313.33286853, 3507280.42971674, 3507249.54011021,
3506979.62494181, 3506950.06706332, 3506922.80001327, 3506897.89823269,
3506875.42970528, 3506855.45577178, 3506838.03096249, 3506823.20284842,
3506811.01191141, 3506740.02987751, 3506730.83728866, 3506724.12978497,
3506719.92424862, 3506718.23126455, 3506719.05509384, 3506722.393663,
3506728.23856915, 3506736.5751012, 3506747.38227687, 3506760.6328955,
3506845.90812962, 3506931.22853819, 3506947.19258148, 3506965.61136752,
3506986.43687742, 3507009.61481779, 3507035.08476234, 3507180.09287715,
3507325.15306044, 3507470.229446, 3507497.25167022, 3507526.3283132,
3507557.38710731, 3507590.35085843, 3507625.13763783, 3507661.66098579,
3507699.83012649, 3507739.55019364, 3507780.72246622, 3507823.2446139,
3508081.88268562, 3508102.34172097, 3508116.84555356, 3508150.73210552,
3508152.30092485, 3508154.10650055, 3508021.24895246, 3507911.33513271,
3507523.93499175, 3506936.3127786, 3506887.04823446, 3506838.99265221,
3506792.28430949, 3506747.0576073, 3506703.44268329, 3506661.56503732,
3506621.54517028, 3506583.49823743, 3506547.53371697, 3506539.0809705,
3506506.08720906, 3506475.26606934, 3506446.70202996, 3506420.47338295,
3506396.65201922, 3506375.30323147, 3506356.48553524, 3506340.25050852,
3506326.64265041, 3506315.69925909, 3506307.45032963, 3506301.91847179,
3506299.11884799, 3506299.05913181, 3506301.73948693, 3506307.15256668,
3506315.28353419, 3506326.11010304, 3506339.60259835, 3506355.72403815,
3506374.43023467, 3506395.66991553, 3506419.38486425, 3506445.51007981,
3506473.97395479, 3506504.6984717, 3506537.59941677, 3506572.5866108,
3506609.56415632, 3506648.43070045, 3506689.0797127, 3506731.39977694,
3506775.27489683, 3506820.5848137, 3506867.20533623, 3506915.0086808,
3506963.86382177, 3507013.6368506, 3507064.19134287, 3507115.38873222,
3507167.08869019, 3507219.14951077, 3507271.42849888, 3507323.78236144,
3507376.06760015, 3507428.14090481, 3507479.85954612, 3507531.08176686,
3507581.66717049, 3507631.47710595, 3507680.37504765, 3507728.22696974,
3507767.74863639), .Dim = c(317L, 2L))), class = c("XY",
"POLYGON", "sfg"))), class = c("sfc_POLYGON", "sfc"), precision = 0, bbox = structure(c(-2051381.44779317,
3506299.05913181, -2040394.61208067, 3512850.1863696), .Names = c("xmin",
"ymin", "xmax", "ymax"), class = "bbox"), crs = structure(list(
epsg = 102009L, proj4string = "+proj=lcc +lat_1=20 +lat_2=60 +lat_0=40 +lon_0=-96 +x_0=0 +y_0=0 +datum=NAD83 +units=m +no_defs"), .Names = c("epsg",
"proj4string"), class = "crs"), n_empty = 0L)), .Names = c("segnum",
"system.time_start", "data", "meanSR", "cloud.pct", "id", "geometry"
), row.names = c(NA, -1L), class = c("tbl_df", "tbl", "data.frame"
))
答案 0 :(得分：1)
您的示例使用table$geometry内的map。相反，请使用geometry。
table2 = x %>%
mutate(center.1 = map(geometry, center1))
答案 1 :(得分：1)
不能只是这样做：
count is 1
thread1 reads count 1 into local var x
thread2 reads count 1 into local var y
thread1 increments x to 2
thread1 writes x value 2 to count
thread2 increments y to 2
thread2 writes the y value 2 to count