[GRASS-user] Question about v.cluster DBSCAN

GRASS GRASS user
1

Hi,

I am kinda new to GRASS and now dealing with a group of point data, but I
failed to get output from the DBSCAN in v.cluster. It is kind of strange to
me because I input the correct vector data but the output seems unchanged.
Here are the command output:

Creating search index ...
Estimating maximum distance ...
Distance to the 1 nearest neighbor:
Min: 4.53982, max: 32826.2
Mean: 2192.14
Standard deviation: 4348.38
Estimated maximum distance: 13392.8
Building clusters ...
Generating renumbering scheme...
Write out cluster ids ...
Building topology for vector map <sites_clustered@grassdata>...
Registering primitives...
7 clusters found
2 outliers found

But the output in display area shows the same data as the input.

Could you please help me with it?

Zac

--
Sent from: http://osgeo-org.1560.x6.nabble.com/Grass-Users-f3884509.html

2

Hi Zac,

On 18/07/20 11:34, Zac45 wrote:

Hi,

I am kinda new to GRASS and now dealing with a group of point data, but I
failed to get output from the DBSCAN in v.cluster. It is kind of strange to
me because I input the correct vector data but the output seems unchanged.
Here are the command output:

Creating search index ...
Estimating maximum distance ...
Distance to the 1 nearest neighbor:
Min: 4.53982, max: 32826.2
Mean: 2192.14
Standard deviation: 4348.38
Estimated maximum distance: 13392.8
Building clusters ...
Generating renumbering scheme...
Write out cluster ids ...
Building topology for vector map <sites_clustered@grassdata>...
Registering primitives...
7 clusters found
2 outliers found

But the output in display area shows the same data as the input.

Could you please help me with it?

By default, cluster ids are stored as category values of the points in layer 2.

If you just want to visualise them, you can use random coloring according to cat value (as in the examples in the man page):

d.vect -c map=sites_clustered layer=2 icon=basic/point size=10

or you can create an attribute table for layer 2 using:

v.db.addtable sites_clustered layer=2

and then visualise the cluster ids in this table.

Moritz