[GRASS-user] identification of cats of vector areas within current region

[Nikos Alexandris]

Hi list!

I extract specific areas (g.region vect=sample_map) from a(nother)
"source_map":

# display "source" map
d.vect source display=shape,cat lsize=12

# zoom in "sample_map" of interest
g.region vect=sample_2

## zoom to ensure seeing all of the features
# d.zoom, zoom-out/-in, d.redraw, etc.
# identify cats of interest in the source_map

## extract for "region zoomed-in sample_2" the features from source_map
v.extract source_map out=sample_2_From_source list=35,38 --o


My question is whether it is possible to automatically identify which
features (=areas) of a vector map lie within (read: even if their bigest
part is not within) the "current" region and extract them (as a whole,
not cut-off the part that is outside of the "region") or... not?!

Kindest regards, Nikos
---

Hopefully it's clear enough below:

Data:

R -> region == some sample
a, b, c -> features (areas) in the source map
 _______
|       |
| R    |==| |==|
| |==| |b | |c |
| |a | |==| |==|
| |==|  |
|_______|


Goal:

Identify the cats of a, b (NOT c) with *some* command without visually
inspecting their "cats"?

or

Directly extract a and b (NOT c) (with v.extract)?