For a better version of the sf vignettes see https://r-spatial.github.io/sf/articles/
This vignette describes a number of issues that did not come up in the previous vignettes, and that may or may not be categorized as “frequently asked questions”. Readers are encouraged to provide entries for this vignette (as for the others).
EPSG stands for a maintained, well-understood set of spatial reference systems, maintained by the International Association of Oil & Gass Producers (IOGP). From R, we can get access to the EPSG dataset programmatically (as a
see also the first vignette.
sfdeal with secondary geometry columns?
sf objects can have more than one geometry list-column, but always only one geometry column is considered active, and returned by
st_geometry. When there are multiple geometry columns, the default
library(sf) demo(nc, ask = FALSE, echo = FALSE) ## Reading layer `nc.gpkg' from data source `/tmp/Rtmpl6EaFo/Rinst6231414d3e82f/sf/gpkg/nc.gpkg' using driver `GPKG' ## Simple feature collection with 100 features and 14 fields ## Attribute-geometry relationship: 0 constant, 8 aggregate, 6 identity ## Geometry type: MULTIPOLYGON ## Dimension: XY ## Bounding box: xmin: -84.32385 ymin: 33.88199 xmax: -75.45698 ymax: 36.58965 ## Geodetic CRS: NAD27 nc$geom2 = st_centroid(st_geometry(nc)) ## Warning in st_centroid.sfc(st_geometry(nc)): st_centroid does not give correct ## centroids for longitude/latitude data print(nc, n = 2) ## Simple feature collection with 100 features and 14 fields ## Attribute-geometry relationship: 0 constant, 8 aggregate, 6 identity, 1 NA's ## Active geometry column: geom ## Geometry type: MULTIPOLYGON ## Dimension: XY ## Bounding box: xmin: -84.32385 ymin: 33.88199 xmax: -75.45698 ymax: 36.58965 ## Geodetic CRS: NAD27 ## First 2 features: ## AREA PERIMETER CNTY_ CNTY_ID NAME FIPS FIPSNO CRESS_ID BIR74 SID74 ## 1 0.114 1.442 1825 1825 Ashe 37009 37009 5 1091 1 ## 2 0.061 1.231 1827 1827 Alleghany 37005 37005 3 487 0 ## NWBIR74 BIR79 SID79 NWBIR79 geom ## 1 10 1364 0 19 MULTIPOLYGON (((-81.47276 3... ## 2 10 542 3 12 MULTIPOLYGON (((-81.23989 3... ## geom2 ## 1 POINT (-81.49826 36.4314) ## 2 POINT (-81.12515 36.49101)
We can switch the active geometry by using
st_set_geometry, as in
st_simplify is a topology-preserving function, but does this on the level of individual feature geometries. That means, simply said, that after applying it, a polygon will still be a polygon. However when two features have a longer shared boundary, applying
st_simplify to the object does not guarantee that in the resulting object these two polygons still have the same boundary in common, since the simplification is done independently, for each feature geometry.
They do! However, many developers like to write scripts that never load packages but address all functions by the
sf:: prefix, as in
This works up to the moment that a
dplyr generic like
select for an
sf object is needed: should one call
dplyr::select (won’t know it should search in package
sf::select (which doesn’t exist)? Neither works. One should in this case simply load
sf, e.g. by
Most (but not all) of the geometry calculating routines used by
sf come from the GEOS library. This library considers coordinates in a two-dimensional, flat, Euclidean space. For longitude latitude data, this is not the case. A simple example is a polygon enclosing the North pole, which should include the pole:
polygon = st_sfc(st_polygon(list(rbind(c(0,80), c(120,80), c(240,80), c(0,80)))), crs = 4326) pole = st_sfc(st_point(c(0,90)), crs = 4326) st_intersects(polygon, pole) ## although coordinates are longitude/latitude, st_intersects assumes that they are planar ## Sparse geometry binary predicate list of length 1, where the predicate was `intersects' ## 1: (empty)
which gives a wrong result (no intersection).
Similar to the above, centroids are computed assuming flat, 2D space:
where the centroid should have been the pole.
This message indicates that
sf assumes a distance value is given in degrees. To avoid this message, pass a value with the right units:
pt = st_sfc(st_point(c(0,0)), crs = 4326) buf = st_buffer(polygon, 1) ## Warning in st_buffer.sfc(polygon, 1): st_buffer does not correctly buffer ## longitude/latitude data ## dist is assumed to be in decimal degrees (arc_degrees). buf = st_buffer(polygon, units::set_units(1, degree)) ## Warning in st_buffer.sfc(polygon, units::set_units(1, degree)): st_buffer does ## not correctly buffer longitude/latitude data