Syntax

   @ThinPointCloud([REJECTABLE], KEEPNPOINT, <interval>)
   @ThinPointCloud([REJECTABLE], MAXNUMPOINTS, <maximum number of points>)
   @ThinPointCloud([REJECTABLE], FIRSTNPOINTS, <maximum number of points>)
   @ThinPointCloud([REJECTABLE], LASTNPOINTS, <maximum number of points>)
   
Arguments

   REJECTABLE

      Specifies if the function will supply a rejection code and message
      to the invalid feature and output it to the rejected port, or will
      fail upon being supplied invalid features.

      A feature can be rejected for the following reasons:
         - The feature has invalid geometry

   <thinning type>
   
      The type of thinning to perform.
   
      Range: (KEEPNPOINT | MAXNUMPOINTS | FIRSTNPOINTS | LASTNPOINTS)
      
   <interval>   
   
      Specifies how often the points are retained. For example, an amount of 2
      will result in every other point of the input cloud feature will be
      present in the output point cloud.

   <maximum number of points>

      Specifies the maximum points in the output point cloud. For example, an
      amount of 100 will result in points in the input cloud being dropped so
      the maximum number of points in the output cloud is 100.
      
Description

   The @ThinPointCloud function is used to create a point cloud with fewer 
   points than the original input feature. This is typically done to reduce data 
   volume by arbitrarily discarding data.

   The behavior depends on the <thinning type>.

   KEEPNPOINT: Keeps every <interval>th point, and discards the remaining points.

   MAXNUMPOINTS: Keeps at most <maximum number of points> points that are evenly
   spaced throughout the dataset, and discards the remaining points.

   FIRSTNPOINTS/LASTNPOINTS: Keeps at most <maximum number of points> points
   from the start or end of the dataset. This likely will produce a less even
   distribution of points than the MAXNUMPOINTS thinning type, but will
   perform faster.