Hi, yes, that is a current limitation. subshapes in the model hierarchy can not yet sample themselves. sadly. means the start shape only samples ONCE ( in the centroid ) and then, those attribute values stay constant for all subshapes. ok ? Matt Is there any way around this to be able to either average the mapped value overlapping the entire shape area (if raster) by sampling more than the centroid, or measure the area of the overlap with other shapes (vector), or flag if another shape is within the shape even if it doesn't cross the center? I'm finding that the occlusion and the mapping attribute starts to get there, but limited. Would this be possible with python?
... View more