Hi Micha, hi all,
sorry for my late response...however, just today I managed to try your
approach of building polylines to connect "touching stream lines"...but...
On 24.02.20 16:48, Micha Silver wrote:
On 24/02/2020 10:45, Johannes Radinger wrote:
Hi all,
I have a large river network dataset (lines). Now I'd to assign
unique categories to each group of connected lines that have an
attribute in common.
For example, my rivers are categorized based on some kind of stream
order. I want to group all rivers that belong to stream order 2 and
are spatially connected; each group should get a unique category
value. I thought that I could first extract all rivers with a
particular attribute (e.g. stream order = 2) which will provide me
some scattered pattern of lines. Then I need a spatial join tool to
make subgroups of lines that are connected. How can I achieve the
latter? Any idea?
Here's a procedure that might work for you. Somewhat clunky, but I
think it gets what you want.
It's based on the v.build.polylines module to connect all touching
stream reaches. First extract each order from the stream vector into a
new vector. Then build polylines. Patch them all together. Now you
have a polyline vector with a single cat value for each set of
original stream reaches that had the same order and that were touching.
Unfortunately, the v.build.polylines tool does not work here as it does
not connect multiple (intersecting) lines like in a river network. For
example, I tried to build polylines from the stream network of the NC
dataset. The suggested approach should result that each sub-network
(i.e. river network that is not connected to another one) should get its
own ID/cat...however, v.build.polylines results in a stream sub-network
that consists of multiple cats:
v.clean --overwrite input=streams@PERMANENT output=streams_break tool=break
v.build.polylines --overwrite input=streams_break@test
output=streams_poly cats=first type=line
d.vect -c map=streams_poly
So is there any other way to join all lines that are touching...This
would be something similar to v.dissolve but based on lines rather than
on polygons.
Any ideas for a simple work around?
cheers,
Johannes
Finally, with v.distance you can upload that cat value to the original
streams.
# Get a list of stream orders
ORDERS=`v.db.select -c streams group=strahler column=strahler`
echo $ORDERS
#1 2 3 4 5 6
# How many stream segments in original
v.info -t streams | grep lines
# lines=1420
# Now loop thru list of stream orders and extract stream segments for
each order
for o in $ORDERS; do
v.extract input=streams output=streams_${o} where="strahler=${o}"
# Create polyline for each stream order
# Line "connects" all touching stream segments
v.build.polylines input=streams_${o}
output=streams_${o}_polyline type=line cat=first
done
# Patch stream order polylines together
POLYLINES=`g.list vect pattern="streams*polyline" separator=comma`
echo $POLYLINES
v.patch input=$POLYLINES output=streams_polylines
v.info -t streams_polylines | grep lines
# lines=738
# Add a new column to the original streams for new ID value
v.db.addcolumn map=streams column="merged_id INTEGER"
# And use v.distance to update that column from cat values in
polylines vector
v.distance from=streams to=streams_polylines upload=cat column=merged_id
HTH
Cheers,
Johannes
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