I've a raster bathymetric map (attached) to which I've applied r.color =
'elevation' because I didn't see another style more appropriate for aquatic
environments. I'm sure there is at least one in various shades of blue and
I'd like suggestions for what to use or do to create one.
Also, is there a way to get narrower depth slices since the riverbed is
comparatively shallow and flat in this data set.
BTW, I sent a request to the appropriate data source for the name of the
most appropriate terrestrial LiDAR data set for the north side of this
river.
Le 20 septembre 2021 17:51:42 GMT+02:00, Rich Shepard <rshepard@appl-ecosys.com> a écrit :
I've a raster bathymetric map (attached) to which I've applied r.color =
'elevation' because I didn't see another style more appropriate for aquatic
environments. I'm sure there is at least one in various shades of blue and
I'd like suggestions for what to use or do to create one.
I'd try 'water' or 'etopo2'.
Also, is there a way to get narrower depth slices since the riverbed is
comparatively shallow and flat in this data set.
Your data looks continuous, so what do you mean by "slices" ? A continuous color table doesn't have slices.
Your data looks continuous, so what do you mean by "slices" ? A continuous
color table doesn't have slices.
Moritz,
The etopo2 color set is perfect for these data (attached). It displays the
thalweg (depest channel in the river with the fastest current velocities) as
well as the shallower areas aganst the banks.
I’ve a raster bathymetric map (attached) to which I’ve applied r.color =
‘elevation’ because I didn’t see another style more appropriate for aquatic
environments. I’m sure there is at least one in various shades of blue and
I’d like suggestions for what to use or do to create one.
I’d try ‘water’ or ‘etopo2’.
Also, is there a way to get narrower depth slices since the riverbed is
comparatively shallow and flat in this data set.
Your data looks continuous, so what do you mean by “slices” ? A continuous color table doesn’t have slices.
Your data looks continuous, so what do you mean by “slices” ? A continuous
color table doesn’t have slices.
Moritz,
The etopo2 color set is perfect for these data (attached). It displays the
thalweg (depest channel in the river with the fastest current velocities) as
well as the shallower areas aganst the banks.
Hi! you can try 'water' with an histogram equalization (e flag)
Maria,
I've used r.colors only for terrestrial DEMs before and elevation was
suitable for the projects, so today's look at the manual page was too
superficial. I missed water, etopo2 and the options.
It turns out that for this data set r.colors -en provide the most
informative view of the river's bathymetry along this long reach (see
attached).
My thanks to all of you for the lessons I've learned,
I've used r.colors only for terrestrial DEMs before and elevation was
suitable for the projects, so today's look at the manual page was too
superficial. I missed water, etopo2 and the options.
Feel free to create a pull request with enhancements for
documentation. Keep in mind – it is hard for us, developers and
pro-users to write documentation as we know clunks of GRASS too well.
Feel free to create a pull request with enhancements for documentation.
Keep in mind – it is hard for us, developers and pro-users to write
documentation as we know chunks of GRASS too well.
Māris,
This was all on me, not the manual page. I was in a hurry and didn't
experiment.
If I could think of technical improvements to the r.colors page I'd offer
them; currently I can't think of anything.
My only request for the docs, which I've expressed before, is to change the
module names' color on the index page from pale green on white to a darker
green. Older eyeballs, with many miles on them, do much better with high
contrast between foreground text and background color. It's no different
from slide presentations: the greater the contrast the easier the text is to
read.
