Closed uleopold closed 6 years ago
I make this modification yesterday. So it is still perfectible. You can do the following
col = height.colours(50)
id = cut(Z, 50, label = FALSE)
By the way the lidR
package will take advantage of this feature soon and in a seamless way.
Works perfectly! Thanks a lot! I am great fan of your packages. Very useful, in particular the lidR
and rlas
packages.
Are you planning to also add grid display as currently possible through rgl in the lidR
package ?
No plan for that sorry. We should never say never but not soon for sure. It is a much more complex task and I don't have the knowledge to make that yet.
I pushed a new version in the devel
branch of lidR
that support the new developments in PointCloudViewer
.
Btw how did you installed the package PointCloudViewer
. And on which operating system? Are my explanation useful?
Excellent. Will check it out the next week.
I installed it according to your instructions on Ubuntu 16.04. Compiled it from inside of R. Was very helpful your explanations.
Hi,
great work. It is indeed very performing. I am just struggling to use the id option. Your example perfectly works. I am now trying to apply it to a LiDAR point cloud and would like to colourize the Z values with height colours. But somehow it is not clear to me how to use the "id" option in this case, except generating random colours. Also the regular specifications of color palettes does not work as used in rgl.
Could put an example for a LiDAR data set and rainbow(50) or height.colours(50) ?
Thanks, a lot.