I have a collection of Points, with a LINEID and an ID_SEQ. The LINEID determines the unique Line-IDS, while the ID_SEQ determines the order of the points in a Line-ID.
I want to transform Points to Lines, ordered by ID_SEQ and grouped by LINEID.
With the package sp
, I am able to achieve the desired results, but I want to do it with the sf
package. What am I missing here?
Here is some dummy data, the desired result illustrated with sp
-functions and two attempts to do the same with sf
, but the plots show different results.
library(sp)
library(sf)
sfpoints <- {
structure(list(LINEID = c(4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 10L, 10L,
10L), ID_SEQ = c(10L, 11L, 12L, 13L, 16L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L,
1L, 2L, 3L), geometry = structure(list(structure(c(15.423568,
47.06248), class = c("XY", "POINT", "sfg")), structure(c(15.423644,
47.062523), class = c("XY", "POINT", "sfg")), structure(c(15.423691,
47.062553), class = c("XY", "POINT", "sfg")), structure(c(15.423712,
47.06257), class = c("XY", "POINT", "sfg")), structure(c(15.423716,
47.062576), class = c("XY", "POINT", "sfg")), structure(c(15.423712,
47.062588), class = c("XY", "POINT", "sfg")), structure(c(15.423731,
47.062595), class = c("XY", "POINT", "sfg")), structure(c(15.423779,
47.062626), class = c("XY", "POINT", "sfg")), structure(c(15.423835,
47.062664), class = c("XY", "POINT", "sfg")), structure(c(15.423879,
47.062714), class = c("XY", "POINT", "sfg")), structure(c(15.423897,
47.062767), class = c("XY", "POINT", "sfg")), structure(c(15.423862,
47.062828), class = c("XY", "POINT", "sfg")), structure(c(15.423783,
47.062897), class = c("XY", "POINT", "sfg")), structure(c(15.423681,
47.062973), class = c("XY", "POINT", "sfg")), structure(c(15.423564,
47.06306), class = c("XY", "POINT", "sfg")), structure(c(15.423437,
47.063164), class = c("XY", "POINT", "sfg")), structure(c(15.42331,
47.06327), class = c("XY", "POINT", "sfg")), structure(c(15.423186,
47.063385), class = c("XY", "POINT", "sfg")), structure(c(15.423062,
47.063496), class = c("XY", "POINT", "sfg")), structure(c(15.422941,
47.063602), class = c("XY", "POINT", "sfg")), structure(c(15.422821,
47.063717), class = c("XY", "POINT", "sfg")), structure(c(15.422699,
47.063824), class = c("XY", "POINT", "sfg")), structure(c(15.422518,
47.061687), class = c("XY", "POINT", "sfg")), structure(c(15.422617,
47.06179), class = c("XY", "POINT", "sfg")), structure(c(15.422717,
47.061893), class = c("XY", "POINT", "sfg"))), class = c("sfc_POINT",
"sfc"), precision = 0, bbox = structure(c(15.422518, 47.061687,
15.423897, 47.063824), .Names = c("xmin", "ymin", "xmax", "ymax"
), class = "bbox"), crs = structure(list(epsg = NA_integer_,
proj4string = NA_character_), .Names = c("epsg", "proj4string"
), class = "crs"), n_empty = 0L)), .Names = c("LINEID", "ID_SEQ",
"geometry"), row.names = c(NA, -25L), class = c("sf", "data.frame"
), sf_column = "geometry", agr = structure(c(NA_integer_, NA_integer_
), .Names = c("LINEID", "ID_SEQ"), .Label = c("constant", "aggregate",
"identity"), class = "factor"))}
par(mfrow=c(1,3))
## SP - way
tstssp <- as(sfpoints, "Spatial")
tstssp <- SpatialLines(lapply(split(tstssp, tstssp$LINEID), function(x)
Lines(list(Line(coordinates(x))), x$LINEID[1L])))
plot(tstssp, col=1:2, lwd=3, main="SP-Desired Result")
## SF - way ???
tst <- sfpoints %>%
group_by(LINEID) %>%
st_coordinates() %>%
st_linestring()
plot(st_geometry(tst), col=1:2 , main="SF-Wrong Result")
tst <- sfpoints %>%
group_by(LINEID) %>%
summarise() %>%
st_cast("LINESTRING")
plot(st_geometry(tst), col=1:2, main="SF-Wrong Result")
sf
github: github.com/r-spatial/sf/issues/325 and github.com/r-spatial/sf/issues/321.st_union
doesn't seem to pay attention to the order in your data frame, instead sequencing based on which points are nearest each other. – Glowwormshapes_df_as_sfg
from thegtfsr
package, then bound it all back together and cast as a linestring. Unfortunately, I'm having trouble adapting that to your sf – Glowwormst_union
taking the nearest next points, as this would produce the correct result in plot 3, so I am still wondering how it unions the points together, that outputs this zigzag structure. – Gong