aggregate.sf | R Documentation |
sf
objectaggregate an sf
object, possibly union-ing geometries
## S3 method for class 'sf'
aggregate(
x,
by,
FUN,
...,
do_union = TRUE,
simplify = TRUE,
join = st_intersects
)
x |
object of class sf |
by |
either a list of grouping vectors with length equal to |
FUN |
function passed on to aggregate, in case |
... |
arguments passed on to |
do_union |
logical; should grouped geometries be unioned using st_union? See details. |
simplify |
logical; see aggregate |
join |
logical spatial predicate function to use if |
In case do_union
is FALSE
, aggregate
will simply combine geometries using c.sfg. When polygons sharing a boundary are combined, this leads to geometries that are invalid; see https://github.com/r-spatial/sf/issues/681.
an sf
object with aggregated attributes and geometries; additional grouping variables having the names of names(ids)
or are named Group.i
for ids[[i]]
; see aggregate.
Does not work using the formula notation involving ~
defined in aggregate.
m1 = cbind(c(0, 0, 1, 0), c(0, 1, 1, 0))
m2 = cbind(c(0, 1, 1, 0), c(0, 0, 1, 0))
pol = st_sfc(st_polygon(list(m1)), st_polygon(list(m2)))
set.seed(1985)
d = data.frame(matrix(runif(15), ncol = 3))
p = st_as_sf(x = d, coords = 1:2)
plot(pol)
plot(p, add = TRUE)
(p_ag1 = aggregate(p, pol, mean))
plot(p_ag1) # geometry same as pol
# works when x overlaps multiple objects in 'by':
p_buff = st_buffer(p, 0.2)
plot(p_buff, add = TRUE)
(p_ag2 = aggregate(p_buff, pol, mean)) # increased mean of second
# with non-matching features
m3 = cbind(c(0, 0, -0.1, 0), c(0, 0.1, 0.1, 0))
pol = st_sfc(st_polygon(list(m3)), st_polygon(list(m1)), st_polygon(list(m2)))
(p_ag3 = aggregate(p, pol, mean))
plot(p_ag3)
# In case we need to pass an argument to the join function:
(p_ag4 = aggregate(p, pol, mean,
join = function(x, y) st_is_within_distance(x, y, dist = 0.3)))
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