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The nature of point cloud data usually implies substantial file sizes.It is not unusual that a point cloud dataset consists of dozens or hundreds of files well over 100 Mb each.In some situations, however, the end users do not require such volumes of data and instead only requires a small portion of the entire dataset.The examples below demonstrate how FME can be used to create smaller point cloud datasets that are easier to handle.This is especially useful when using mapping applications in a browser.
A pre-defined grid can be used to create point cloud tiles in FME.This is especially useful if the same grid has been or will be used to create tiles for other data formats.For example, orthophotos may be tiled and by using the same grid scheme for point clouds, both the orthophoto and point cloud tiles will align correctly and further manipulation may be done more efficiently.The steps below outline how point cloud tiles can be created with a shapefile grid:
The image below shows how the predefined shapefile grid was used to split the point cloud into tiles and what their assigned TILE_ID values are
If there is no predefined grid or the point cloud tile location does not need to be linked to an exact location, you can use the Tiler transformer.This transformer will use user-specified tile width and height to chop the point cloud into portions.The example workspace follows the outlined steps below:
The image below shows how the Tiler transformer was used to split the point cloud into tiles and what their assigned TILE_ID values are.
Coordinate Systems and Measurements with the Reprojector
Determining Spatial Relationships
Example Using the Clipper Transformer
Generating Polygon Differences with the Clipper Transformer
Distance Measurements with the LengthCalculator
Data QA: Identifying Invalid Spatial Relationships
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