One of my raster maps represents the planar curve as generated by the
tcurv parameter of r.resamp.rst. I was looking at it in the wxpython GUI and
exploring different color tables. I ended up with a solid green and have no
idea of the name of the default color table.
What would be an appropriate (standard?) color table for these curves?
Rich
Rich Shepard wrote:
One of my raster maps represents the planar curve as generated by the
tcurv parameter of r.resamp.rst. I was looking at it in the wxpython GUI and
exploring different color tables. I ended up with a solid green and have no
idea of the name of the default color table.What would be an appropriate (standard?) color table for these curves?
The "curvature" table has a similar structure, but the colours aren't
quite the same.
The curvature table is:
0% black
-0.01 blue
-0.001 aqua
-0.0001 cyan
0 white
0.0001 yellow
0.001 orange
0.01 red
100% magenta
The rst/interp_float library generates the curvature colour table
programmatically, but the result is equivalent to:
0% purple
-0.01 blue
-0.001 indigo
-0.00001 cyan
0 200:255:200
0.00001 yellow
0.001 orange
0.01 red
100% 255:0:200
[The 100% case is close to magenta = 255:0:255]
--
Glynn Clements <glynn@gclements.plus.com>
On Sat, 13 Feb 2010, Glynn Clements wrote:
The "curvature" table has a similar structure, but the colours aren't
quite the same.
Thanks, Glynn. That's close enough.
Rich
On Sat, Feb 13, 2010 at 2:29 AM, Glynn Clements
<glynn@gclements.plus.com> wrote:
Rich Shepard wrote:
One of my raster maps represents the planar curve as generated by the
tcurv parameter of r.resamp.rst. I was looking at it in the wxpython GUI and
exploring different color tables. I ended up with a solid green and have no
idea of the name of the default color table.What would be an appropriate (standard?) color table for these curves?
The "curvature" table has a similar structure, but the colours aren't
quite the same.The curvature table is:
0% black \-0\.01 blue \-0\.001 aqua \-0\.0001 cyan 0 white 0\.0001 yellow 0\.001 orange 0\.01 red 100% magentaThe rst/interp_float library generates the curvature colour table
programmatically, but the result is equivalent to:0% purple \-0\.01 blue \-0\.001 indigo \-0\.00001 cyan 0 200:255:200 0\.00001 yellow 0\.001 orange 0\.01 red 100% 255:0:200[The 100% case is close to magenta = 255:0:255]
New table "rstcurv" backported, now available in 6.4, 6.5 and 7.
Markus
Glynn:
> The "curvature" table has a similar structure, but the colours aren't
> quite the same.
>
> The curvature table is:
>
> 0% black
> -0.01 blue
> -0.001 aqua
> -0.0001 cyan
> 0 white
> 0.0001 yellow
> 0.001 orange
> 0.01 red
> 100% magenta
>
> The rst/interp_float library generates the curvature
colour table
> programmatically, but the result is equivalent to:
>
> 0% purple
> -0.01 blue
> -0.001 indigo
> -0.00001 cyan
> 0 200:255:200
> 0.00001 yellow
> 0.001 orange
> 0.01 red
> 100% 255:0:200
>
> [The 100% case is close to magenta = 255:0:255]
Markus:
New table "rstcurv" backported, now available in 6.4, 6.5
and 7.
test:
#spearfish
r.slope.aspect elev=elevation.dem tcurv=elev.tcurv
r.colors elev.tcurv color=curvature
#
r.colors elev.tcurv color=rstcurv
observations:
1) "curvature" with its green midtones is more expressive than the more
saturated rstcurv. A matter of preference I suppose.
2) with "d.vect quads type=boundary" you can really see the different
datasets, esp. in the northern half. (elevation.dem is known to have
other artifacts, e.g. grid visible in the slope map)
3) doing the same for elevation.10m works really well by comparison, you
can really see the reduced curvature in the flatlands.
Hamish
Hamish:
3) doing the same for elevation.10m works really well by comparison, you
can really see the reduced curvature in the flatlands.
especially nice if you do
nviz elevation.10m color=elev.tcurv, and set z-exag to 2.0, and raster
fine res to "1".
On Sat, 13 Feb 2010, Markus Neteler wrote:
New table "rstcurv" backported, now available in 6.4, 6.5 and 7.
Markus,
Thank you.
Rich