I have a tibble, and one column (called geometry) of the tibble is filled with sf polygons. I have a function which calculates the coordinates of the centroid of the polygons. However, the coordinates are in ESPG 102009. I would like the coordinates to be in lat/lon, so need to transform them into ESPG 4326. However, I keep getting an error when I try to use st_transform which says Error in mutate_impl(.data, dots) : Evaluation error: is.numeric(crs) || is.character(crs) || inherits(crs, "crs") is not TRUE. I'm not sure what is causing this error. Any ideas? I've seen solutions for sp, but none yet for sf objects.
Here is sample code:
sunlight.hours = function(df){
centroid = st_centroid(df)%>%st_transform(4326)
}
table2 = table1%>%
mutate(sunlight=map(geometry, sunlight.hours))
Here is a small section of my data:
table1= structure(list(segnum = 428L, 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,
25190L, 25192L, 25193L, 25194L, 25195L, 25349L, 25351L, 25352L,
25353L, 25354L, 25510L, 25511L, 25514L, 25515L, 25516L, 25676L,
25677L, 25835L, 25839L, 25840L, 25841L, 25842L, 26002L, 26004L,
26005L, 26167L, 26168L, 26169L, 26332L, 26499L, 26500L, 26665L,
26832L, 26999L, 27165L, 27166L, 27167L, 27334L, 27335L, 27489L,
27490L, 27491L, 27492L, 27493L, 27494L, 27495L, 27496L, 27499L,
27500L, 27501L, 27502L, 27656L, 27657L, 27658L, 27659L, 27660L,
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,
5658L, 5658L, 6077L, 5658L, 7352L, 6331L, 6312L, 4065L,
4640L, 5626L, 5626L, 4609L, 4609L, 4609L, 4561L, 4733L,
5211L, 5211L, 5513L, 4475L, 4675L, 5076L, 5764L, 5000L,
6284L, 3369L, 6669L, 5270L, 5270L, 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), 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",
"102", "103", "104", "105", "106", "107", "108", "109", "11",
"110", "111", "112", "113", "114", "115", "116", "117", "118",
"119", "12", "120", "121", "122", "123", "124", "125", "126",
"127", "128", "129", "13", "130", "131", "132", "133", "134",
"135", "136", "137", "138", "139", "14", "140", "141", "142",
"143", "144", "145", "146", "147", "148", "149", "15", "150",
"151", "152", "153", "154", "155", "156", "157", "158", "159",
"16", "160", "161", "162", "163", "164", "165", "166", "167",
"168", "169", "17", "170", "171", "172", "173", "174", "175",
"176", "177", "178", "179", "18", "180", "181", "182", "183",
"184", "185", "186", "187", "188", "189", "19", "190", "191",
"192", "193", "194", "195", "196", "197", "198", "199", "2",
"20", "200", "201", "202", "203", "204", "205", "206", "207",
"208", "209", "21", "210", "211", "212", "213", "214", "215",
"216", "217", "218", "219", "22", "220", "221", "222", "223",
"224", "225", "226", "227", "228", "229", "23", "230", "231",
"232", "233", "234", "235", "236", "237", "238", "239", "24",
"240", "241", "242", "243", "244", "245", "246", "247", "248",
"249", "25", "250", "251", "252", "253", "254", "255", "256",
"257", "258", "259", "26", "260", "261", "262", "263", "264",
"265", "266", "267", "268", "269", "27", "270", "271", "272",
"273", "274", "275", "276", "277", "278", "279", "28", "280",
"281", "282", "283", "284", "285", "286", "287", "288", "289",
"29", "290", "291", "292", "293", "294", "295", "296", "297",
"298", "299", "3", "30", "300", "301", "302", "303", "304",
"305", "306", "307", "308", "309", "31", "310", "311", "312",
"313", "314", "315", "316", "317", "318", "319", "32", "320",
"321", "322", "323", "324", "325", "326", "327", "328", "329",
"33", "330", "331", "332", "333", "334", "335", "336", "337",
"338", "339", "34", "340", "341", "342", "343", "344", "345",
"346", "347", "348", "349", "35", "350", "351", "352", "353",
"354", "355", "356", "357", "358", "359", "36", "360", "361",
"362", "363", "364", "365", "366", "367", "368", "369", "37",
"370", "371", "372", "373", "374", "375", "376", "377", "378",
"379", "38", "380", "381", "382", "383", "384", "385", "386",
"387", "388", "389", "39", "390", "391", "392", "393", "394",
"395", "396", "397", "398", "399", "4", "40", "400", "401",
"402", "403", "404", "405", "406", "407", "408", "409", "41",
"410", "411", "412", "413", "414", "415", "416", "417", "418",
"419", "42", "420", "421", "422", "423", "424", "425", "426",
"427", "428", "429", "43", "430", "431", "432", "433", "434",
"435", "436", "437", "438", "439", "44", "440", "441", "442",
"443", "444", "445", "446", "447", "448", "449", "45", "450",
"451", "452", "453", "454", "455", "456", "457", "458", "459",
"46", "460", "461", "462", "463", "464", "465", "466", "467",
"468", "469", "47", "470", "471", "472", "473", "474", "475",
"476", "477", "478", "479", "48", "480", "481", "482", "483",
"484", "485", "486", "487", "488", "489", "49", "490", "491",
"492", "493", "494", "495", "496", "497", "498", "499", "5",
"50", "500", "501", "502", "503", "504", "505", "506", "507",
"508", "509", "51", "510", "52", "53", "54", "55", "56",
"57", "58", "59", "6", "60", "61", "62", "63", "64", "65",
"66", "67", "68", "69", "7", "70", "71", "72", "73", "74",
"75", "76", "77", "78", "79", "8", "80", "81", "82", "83",
"84", "85", "86", "87", "88", "89", "9", "90", "91", "92",
"93", "94", "95", "96", "97", "98", "99"), class = "factor"),
geometry = structure(list(structure(list(structure(c(-2051264.75646429,
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3507767.74863639), .Dim = c(317L, 2L))), class = c("XY",
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3506299.05913181, -2040394.61208067, 3512850.1863696), .Names = c("xmin",
"ymin", "xmax", "ymax"), class = "bbox"), crs = structure(list(
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"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"
))
mapfunction defined here.