[GRASS-user] 3D Streets Data

[Markus Neteler]

On Jan 5, 2008 6:32 PM, Matthew Pulis <mpulis at gmail.com> wrote:
>
>
>
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> Hi,
>
>
>
> First of all Happy New Year to all on the list J
>
>
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> I am trying to build a 3D Street Network, thus where the streets have
> elevation so I can do routing depending on slope level.
>
>
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> I am using the GRASS Book Dataset of North Carolina.
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> I tried to combine : streets_wake and elev_state_500m layers together, using
> the v.drape :
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> v.drape in=streets_wake rast=elev_state_500m method=bilinear out=streets3d
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>
>
> But to no avail. This is the v.info on streets3d :
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>
>
> |   Number of lines:        49746           Number of islands:    0
> |
>
>  |   Number of boundaries:   0               Number of faces:      0
> |
>
>  |   Number of centroids:    0               Number of kernels:    0
> |
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>  |
> |
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>  |   Map is 3D:              1
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>  |   Number of dblinks:      1
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>  |
> |
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>  |         Projection: Lambert Conformal Conic
> |
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>  |               N:   258102.57210146    S:   196653.34855345
> |
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>  |               E:   676816.24830376    W:    610869.3848495
> |
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>  |               B:       49.16141063    T:      156.87280191
> |

As you see - the data are 3D!


I run
g.region vect=streets_wake res=100 -pa
v.drape in=streets_wake rast=elev_state_500m method=bilinear out=streets3d
#
r.mapcalc sealevel=0
nviz el=sealevel vect=streets3d

Looks pretty much 3D (sorry for flat terrain there...).

Check also
v.out.ascii streets3d format=standard | head -50
ORGANIZATION: NC OneMap
DIGIT DATE:   Nov 7 6
DIGIT NAME:   helena
MAP NAME:     Wake County roads and streets (lines map)
MAP DATE:     Tue Nov  7 20:04:56 2006
MAP SCALE:    1
OTHER INFO:
ZONE:         0
MAP THRESH:   0.000000
VERTI:
L  4 1
 625304.64965949 214113.54427121 111.15730809
 625301.19968723 214078.52097425 111.15730809
 625299.48976068 214056.17660237 111.15730809
 625299.2898505 214050.64903112 111.15730809
 1     1
L  4 1
 670282.21275792 227601.93222423 80.19490021
 670374.57454089 227594.34858999 80.19490021
 670445.44075096 227585.49027471 80.19490021
 670480.4596783 227576.2012396 82.07733239
 1     2
L  2 1
 640859.16790248 227574.18138204 107.09736996
 640807.37009659 227572.59333673 107.09736996
 1     3
...

Markus