[GRASS5] v.support and large datasets (gshhs from GMT)

[Markus Neteler]

Hi all,

to provide a high resolution vector coastline dataset I have
converted the
                        G S H H S
 Global Self-consistant Hierarchical High-resolution Shorelines
 from Paul Wessel and Walter. H. F. Smith
 (ftp://gmt.soest.hawaii.edu/pub/wessel/gshhs/).

A problem arises from v.support which doesn't run on large files (at all or
or in reasonable time, process is still running here). If you are interested
to test GRASS with a *large* vector file, I have prepared the GMT dataset
for you:

To describe it's resolution: 
(From the GMT page:) The file gshhs_h.c (High resolution) is at 0.2 km, I
have converted gshhs_f.c (Full resolution) at 0.?km (no value given). So I
have converted the *full* resolution dataset gshhs_f to GRASS ASCII vector 
format for you to download at:

ftp://www.geog.uni-hannover.de/outgoing/gshhs_f_grassascii.tar.gz (58MB)
 -rw-r--r--   1 neteler  users    226115131 Dez  8 17:42 dig_ascii.gshhs_f
 -rw-r--r--   1 neteler  users    10561544 Dez  8 17:42 dig_att.gshhs_f
 -rw-r--r--   1 neteler  users     2166637 Dez  8 17:42 dig_cats.gshhs_f

You can use this lat/long world coastline dataset within "global dataset"
location which you get from here (or you define an empty world lat/long
location):

http://www.geog.uni-hannover.de/grass/data.html
Add the missing directories:
 $LOCATION/dig_ascii
 $LOCATION/dig_cats

and move the files into their directories (rename to gshhs_f or similar of
course). Then 
 v.in.ascii in=gshhs_f out=gshhs_f
 v.support gshhs_f op=build

However, this takes muuucchhh time... Does anyone see a chance to speed
up the v.support topology build function? Maybe it would be useful to
add progress output (percentage) to v.support.

Regards

 Markus

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