我有一个具有许多不同特征的 sf 对象，我正在尝试使用
sf::st_union()library(dplyr)
library(sf)
streams <- structure(list(Cell = c(422, 61, 378, 307), Cluster = c(2L, 2L,
3L, 1L), buff.area = c(314, 314, 314, 314), FEATURE_ID = c("ff8f986484cf48d58e5c46fc4236ec6e",
"995647eea2cf4c6ead3d76a3b257c919", "5fbe3e130064495182c9fdbb4e39aa2d",
"3a63895df52143ed81114faed3fed01e"), MD_ID = c(NA_character_,
NA_character_, NA_character_, NA_character_), MD_TEMPORAL_EXTENT_DATE_MIN = c("2000",
"2000", "2002", "2000"), MD_TEMPORAL_EXTENT_DATE_MAX = c("2000",
"2000", "2002", "2000"), MD_HORIZ_POSITION_ACCURACY_MIN = c(26,
28, 28, 30), MD_HORIZ_POSITION_ACCURACY_MAX = c(26, 28, 28, 30
), PERMANENCY = c(59L, 59L, 59L, 59L), LEVEL_PRIORITY = c(44L,
44L, 44L, 44L), WATER_DEFINITION = c(91L, 91L, 91L, 91L), FLOW_DIRECTION = c(32L,
32L, 32L, 32L), NAME_DB = c("CGNDB", NA, "CGNDB", NA), NAME_ID = c("41e2c322d05411d892e2080020a0f4c9",
NA, "32db4cf3d05511d892e2080020a0f4c9", NA), NAME_EN = c("Medrick Creek",
NA, "Ruby Creek", NA), NAME_FR = c("Medrick Creek", NA, "Ruby Creek",
NA), NAME_OTHER = c(NA_character_, NA_character_, NA_character_,
NA_character_), NAME_1_ID = c("41e2c322d05411d892e2080020a0f4c9",
NA, "32db4cf3d05511d892e2080020a0f4c9", NA), NAME_1_EN = c("Medrick Creek",
NA, "Ruby Creek", NA), NAME_1_FR = c("Medrick Creek", NA, "Ruby Creek",
NA), NAME_2_ID = c(NA_character_, NA_character_, NA_character_,
NA_character_), NAME_2_EN = c(NA_character_, NA_character_, NA_character_,
NA_character_), NAME_2_FR = c(NA_character_, NA_character_, NA_character_,
NA_character_), MAP_SELECTION = c(71L, 71L, 71L, 71L), COUNTRY = c(140L,
140L, 140L, 140L), MD_TOPONYMIC_LINK_QUALITY = c(20L, 20L, 20L,
20L), MD_NETWORK_QUALITY = c(20L, 20L, 20L, 20L), Shape_Length = c(2187.19525415184,
1011.82351705742, 3836.56163228017, 1906.2275415346), geometry = structure(list(
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219052.366057637, 219051.917632049, 219051.455679886, 219050.981467326,
219050.496294153, 219050.001490193, 219049.498411669, 219048.988437485,
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219046.384500685, 219045.862897731, 219045.344363808, 219044.83032018,
219044.322175807, 219043.821323475, 219043.329135988, 219042.846962395,
219042.376124303, 219041.917912244, 219041.473582147, 219041.04435189,
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219038.038800929, 219029.923763594, 1026885.21341266, 1026885.68762522,
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1026896.03769458, 1026896.4332403, 1026896.81029365, 1026897.16782115,
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1026863.92725892, 1026863.78232774, 1026863.66392427, 1026863.57237306,
1026863.50792504, 1026863.47075686, 1026863.46097039, 1026863.47859245,
1026863.52357476, 1026863.595794, 1026863.69505224, 1026863.82107742,
1026863.9735241, 1026864.15197445, 1026864.35593933, 1026864.58485971,
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1026867.64356427, 1026868.07723418, 1026868.52565976, 1026868.98761193,
1026885.21341266), dim = c(123L, 2L))), class = c("XY", "POLYGON",
"sfg"))), n_empty = 0L, precision = 0, crs = structure(list(
input = "EPSG:3578", wkt = "PROJCRS[\"NAD83 / Yukon Albers\",\n BASEGEOGCRS[\"NAD83\",\n DATUM[\"North American Datum 1983\",\n ELLIPSOID[\"GRS 1980\",6378137,298.257222101,\n LENGTHUNIT[\"metre\",1]]],\n PRIMEM[\"Greenwich\",0,\n ANGLEUNIT[\"degree\",0.0174532925199433]],\n ID[\"EPSG\",4269]],\n CONVERSION[\"Yukon Albers\",\n METHOD[\"Albers Equal Area\",\n ID[\"EPSG\",9822]],\n PARAMETER[\"Latitude of false origin\",59,\n ANGLEUNIT[\"degree\",0.0174532925199433],\n ID[\"EPSG\",8821]],\n PARAMETER[\"Longitude of false origin\",-132.5,\n ANGLEUNIT[\"degree\",0.0174532925199433],\n ID[\"EPSG\",8822]],\n PARAMETER[\"Latitude of 1st standard parallel\",61.6666666666667,\n ANGLEUNIT[\"degree\",0.0174532925199433],\n ID[\"EPSG\",8823]],\n PARAMETER[\"Latitude of 2nd standard parallel\",68,\n ANGLEUNIT[\"degree\",0.0174532925199433],\n ID[\"EPSG\",8824]],\n PARAMETER[\"Easting at false origin\",500000,\n LENGTHUNIT[\"metre\",1],\n ID[\"EPSG\",8826]],\n PARAMETER[\"Northing at false origin\",500000,\n LENGTHUNIT[\"metre\",1],\n ID[\"EPSG\",8827]]],\n CS[Cartesian,2],\n AXIS[\"(E)\",east,\n ORDER[1],\n LENGTHUNIT[\"metre\",1]],\n AXIS[\"(N)\",north,\n ORDER[2],\n LENGTHUNIT[\"metre\",1]],\n USAGE[\n SCOPE[\"Territory-wide spatial data management.\"],\n AREA[\"Canada - Yukon.\"],\n BBOX[59.99,-141.01,69.7,-123.91]],\n ID[\"EPSG\",3578]]"), class = "crs"), class = c("sfc_POLYGON",
"sfc"), bbox = structure(c(xmin = 166936.371990737, ymin = 1026863.46097039,
xmax = 219056.982321428, ymax = 1076432.04800537), class = "bbox"))), row.names = c(68L,
7L, 58L, 55L), sf_column = "geometry", agr = structure(c(Cell = NA_integer_,
Cluster = NA_integer_, buff.area = NA_integer_, FEATURE_ID = NA_integer_,
MD_ID = NA_integer_, MD_TEMPORAL_EXTENT_DATE_MIN = NA_integer_,
MD_TEMPORAL_EXTENT_DATE_MAX = NA_integer_, MD_HORIZ_POSITION_ACCURACY_MIN = NA_integer_,
MD_HORIZ_POSITION_ACCURACY_MAX = NA_integer_, PERMANENCY = NA_integer_,
LEVEL_PRIORITY = NA_integer_, WATER_DEFINITION = NA_integer_,
FLOW_DIRECTION = NA_integer_, NAME_DB = NA_integer_, NAME_ID = NA_integer_,
NAME_EN = NA_integer_, NAME_FR = NA_integer_, NAME_OTHER = NA_integer_,
NAME_1_ID = NA_integer_, NAME_1_EN = NA_integer_, NAME_1_FR = NA_integer_,
NAME_2_ID = NA_integer_, NAME_2_EN = NA_integer_, NAME_2_FR = NA_integer_,
MAP_SELECTION = NA_integer_, COUNTRY = NA_integer_, MD_TOPONYMIC_LINK_QUALITY = NA_integer_,
MD_NETWORK_QUALITY = NA_integer_, Shape_Length = NA_integer_), class = "factor", levels = c("constant",
"aggregate", "identity")), class = c("sf", "data.frame"))
class(streams) ## output is '[1] "sf" "data.frame"'
streams_merged <- streams %>% sf::st_union()
class(streams_merged) ## output is [1] "sfc_MULTIPOLYGON" "sfc"
然后，我想将其转换为与
streams[1] "sf" "data.frame"water <- streams_merged %>%
mutate(water.area = st_area(geometry))
但是，我收到以下错误消息：
Error in UseMethod("mutate") : no applicable method for 'mutate' applied to an object of class "c('sfc_MULTIPOLYGON', 'sfc')"如何将其转换为具有可用于计算面积的“几何”字段的数据框？
谢谢！ （对于定义
streams在您的用例中，我建议使用
dplyr::summarise()还可以考虑使用 {magrittr} 管道语法中定义的点占位符来计算面积。我发现它比指定几何列更简洁 - 也更安全，因为您不能依赖名为“几何”的几何列。
streams_merged <- streams %>%
summarise() %>% # not an obvious geometry merge tool, but quite effective :)
mutate(water_area = st_area(.)) # note the dot
streams_merged
# Simple feature collection with 1 feature and 1 field
# Geometry type: MULTIPOLYGON
# Dimension: XY
# Bounding box: xmin: 166936.4 ymin: 1026863 xmax: 219057 ymax: 1076432
# Projected CRS: NAD83 / Yukon Albers
# geometry water_area
# 1 MULTIPOLYGON (((219029.5 10... 2682.296 [m^2]