1. Question With Additional Information:
I would like to generate a sparsely packed layer containing points labelled with the Z-column of an existing interpolated TIN raster
A sample photograph what is needed is attached below,
2. Background Information:
The following explains my process flow,
Step 1. Raw data in the form of .csv files; one of which contains
(i) depth measurements at various locations from, say, a water body, i.e., 3 columns of latitude, longitude, and altitude (altitude represents the Z-column described in the question), and the other.
(ii) boundary of the area covered previous explained in (i); again in latitude, longitude and Z-column form.
Step 2. Generate .shp files using OSGeo and GeoPandas - Python of items in Step 1 (along with the required CRS).
Step 3. Using TIN interpolation to generate raster of item described as (i) in Step 1.
Step 4. Use Clip Raster by Mask Layer to remove extents beyond the boundary described in (ii) in Step 1. The function, minimum bounding geometry is used to create the required mask layer from the boundary layer csv file.
3. Step of Interest Wherein the Question Asked Arises:
Step 5. I, now, use Pixels to Points to generate the point layer and further, add Labels->Single Labels-> Select the column containing the Z-column. However, the result obtained is very densely packed that the underlying layer is no longer visible. This is described in the image below,
How can I modify the density/ resolution/ the number of points to achieve a result close to that described in the Image in 1?