.. _auto_dataset_reduce_spatial_points: *DATASET REDUCE SPATIAL POINTS* =============================== Reduces the number of spatial points in a dataset by down-sampling selected columns, useful for thinning dense spatial data before visualization or further processing. Provide a dataset and specify which columns contain the spatial coordinates or values to be reduced. When to use ----------- Classification: **process**. Tagged: ``dataset``, ``downsampling``, ``point_reduction``, ``spatial``, ``transform``. Inputs ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - Label - ID - Type - Default - Required - Description * - Dataset - dataset_1 - dataset - — - - Input dataset to be spatially down-sampled; accepts any tabular dataset — leave unconnected if passing data inline via a preceding node. * - Columns - columns - scalar - — - - One or more column names from dataset_1 that identify the spatial dimensions or value fields to reduce; select from the dynamic list populated by dataset_1, leave blank to apply reduction across all columns. Outputs ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - Label - ID - Type - Description * - dataset_rsp_output_1 - dataset_rsp_output_1 - dataset - Down-sampled output dataset with the same schema as the input but with a reduced number of spatial point rows in the selected columns. Disciplines ----------- - data.dataset.transform - data.signal_processing Runnable example ---------------- A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: `/api/workflow/example?id=dataset_reduce_spatial_points `_ .. raw:: html

Auto-generated from transformation schema. Worker id: dataset_reduce_spatial_points. Schema hash: 035d52a5d0a6. Hand-curated docs in workerexamples/ override this page when present.