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Your case is covered in the book in this section. The idea here is that your files are no longer a wall-to-wall coverage of a territory. The LAScatalog engine is designed to process las files that encompass a territory where each files is spatially related to its neighbourhood.

In your case the files are independent. You basically want to loop through each file. In this case you can put this information in the catalog

opt_independent_files(ctg) <- TRUE

Each file will be processed independently, without buffer. This is equivalent to a regular loop (but with parallel capabilities and real time monitoring).

In addition depending of what you are doing you may want to avoid final merging

ctg@output_options$mergeopt_merge(ctg) = FALSE

Your case is covered in the book in this section. The idea here is that your files are no longer a wall-to-wall coverage of a territory. The LAScatalog engine is designed to process las files that encompass a territory where each files is spatially related to its neighbourhood.

In your case the files are independent. You basically want to loop through each file. In this case you can put this information in the catalog

opt_independent_files(ctg) <- TRUE

Each file will be processed independently, without buffer. This is equivalent to a regular loop (but with parallel capabilities and real time monitoring).

In addition depending of what you are doing you may want to avoid final merging

ctg@output_options$merge = FALSE

Your case is covered in the book in this section. The idea here is that your files are no longer a wall-to-wall coverage of a territory. The LAScatalog engine is designed to process las files that encompass a territory where each files is spatially related to its neighbourhood.

In your case the files are independent. You basically want to loop through each file. In this case you can put this information in the catalog

opt_independent_files(ctg) <- TRUE

Each file will be processed independently, without buffer. This is equivalent to a regular loop (but with parallel capabilities and real time monitoring).

In addition depending of what you are doing you may want to avoid final merging

opt_merge(ctg) = FALSE
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JRR
  • 9.7k
  • 1
  • 14
  • 29

Your case is covered in the book in this section. The idea here is that your files are no longer a wall-to-wall coverage of a territory. The LAScatalog engine is designed to process las files that encompass a territory where each files is spatially related to its neighbourhood.

In your case the files are independent. You basically want to loop through each file. In this case you can put this information in the catalog

opt_independent_files(ctg) <- TRUE

Each file will be processed independently, without buffer. This is equivalent to a regular loop (but with parallel capabilities and real time monitoring).

In addition depending of what you are doing you may want to avoid final merging

ctg@output_options$merge = FALSE

Your case is covered in the book in this section. The idea here is that your files are no longer a wall-to-wall coverage of a territory. The LAScatalog engine is designed to process las files that encompass a territory where each files is spatially related to its neighbourhood.

In your case the files are independent. You basically want to loop through each file. In this case you can put this information in the catalog

opt_independent_files(ctg) <- TRUE

Each file will be processed independently, without buffer. This is equivalent to a regular loop (but with parallel capabilities and real time monitoring).

Your case is covered in the book in this section. The idea here is that your files are no longer a wall-to-wall coverage of a territory. The LAScatalog engine is designed to process las files that encompass a territory where each files is spatially related to its neighbourhood.

In your case the files are independent. You basically want to loop through each file. In this case you can put this information in the catalog

opt_independent_files(ctg) <- TRUE

Each file will be processed independently, without buffer. This is equivalent to a regular loop (but with parallel capabilities and real time monitoring).

In addition depending of what you are doing you may want to avoid final merging

ctg@output_options$merge = FALSE
deleted 1 character in body
Source Link
JRR
  • 9.7k
  • 1
  • 14
  • 29

Your case is covered in the book in this section. The idea here is that your files are no longer a wall-to-wall coverage of ana territory. The LAScatalog engine is designed to process las files that encompass a territory where each files is spatially related to its neighbourhood.

In your case the files are independent. You basically want to loop through each file. In this case you can put this information in the catalog

opt_independent_files(ctg) <- TRUE

Each file will be processed independently, without buffer. This is equivalent to a regular loop (but with parallel capabilities and real time monitoring).

Your case is covered in the book in this section. The idea here is that your files are no longer a wall-to-wall coverage of an territory. The LAScatalog engine is designed to process las files that encompass a territory where each files is spatially related to its neighbourhood.

In your case the files are independent. You basically want to loop through each file. In this case you can put this information in catalog

opt_independent_files(ctg) <- TRUE

Each file will be processed independently, without buffer. This is equivalent to a regular loop (but with parallel capabilities and real time monitoring).

Your case is covered in the book in this section. The idea here is that your files are no longer a wall-to-wall coverage of a territory. The LAScatalog engine is designed to process las files that encompass a territory where each files is spatially related to its neighbourhood.

In your case the files are independent. You basically want to loop through each file. In this case you can put this information in the catalog

opt_independent_files(ctg) <- TRUE

Each file will be processed independently, without buffer. This is equivalent to a regular loop (but with parallel capabilities and real time monitoring).

Source Link
JRR
  • 9.7k
  • 1
  • 14
  • 29
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