For massive data, is there a sparse subsampling algorithm for line or polygon layers?
Your response to a discussion:：
“Another rendering trick that really helps out with massive point data on a spatial index is SubsamplePoints but for this line/poly data that technique would produce some inconsistency.”
Point Layer I use the method of grid ellipsometry to get point elements (sub-sampling points) to get the top-level data of the pyramid looks good, but for line and polygon it is the opposite.
For massive data, is there a sparse subsampling algorithm for line or polygon layers?
Your response to a discussion:：
“Another rendering trick that really helps out with massive point data on a spatial index is SubsamplePoints but for this line/poly data that technique would produce some inconsistency.”
Point Layer I use the method of grid ellipsometry to get point elements (sub-sampling points) to get the top-level data of the pyramid looks good, but for line and polygon it is the opposite.