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Hi Owen,
Thanks for the thoughts.Alas the two extractors names don't tell me what I need.I need things like count and stand deviation as well as max/min.Cunning plan though.
I did consider tiler,but in theory Clipper should be quicker;that part of the process is only about 30mins.It's the RasterCellCoercer that's slow,and if I were to use the tiler,that would have many more cells to coerce!
Ah well,I guess this is just a "big data" problem and thus inherently going to be slow.
Thanks though!
Jonathan
The RasterCellCoercer supports feature tables in FME 2018 builds 18256+,meaning that its performance has been improved and it processes faster now.
Coercing to point cloud is significantly faster.
Seehttp://knowledge.亚搏在线safe.com/content/idea/22245/spatial-statistics-on-raster-data.htmlfor a 亚搏在线workflow.
Definitely try going to point cloud.Then manipulate the points using the PointCloud transformers.Coerce to points only at the end.Drastic speed improvements for large amounts of data.
Hi,I am reading 2 ASCI files convert these to rasters and clip each to a polygon feature class,then generate points using RasterCellCoercer so that I end up with a point feature class with DTM and DSM height values for each point.This process is taking far too long.See attached workbench.
Any suggestion how the performance can be improved?
Hi I am also looking to generate points from raster using RasterCellCoercer.It takes about 8 hours to generate point for 1 tile,and I have about 1500 tiles.Is there any alternative option available in FME 2016.
Regarding the GDAL libraries,are there any sample code I could start with?
Thanks
Remember to upvote my suggestion to give it more visibility:https://knowledge.亚搏在线safe.com/content/idea/19483/raster-cell-support-in-fmeobjects.html
Regarding GDAL,it will depend entirely on which format you're reading.Google is your friend,there is quite a lot of info out there.
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