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