Workflow Type: Galaxy
Frozen
Stable
This Galaxy-E workflow was made from the "Cleaning GBIF data for the use in biogeography" tutorial and allows to:
- Use CoordinateCleaner to automatically flag problematic records
- Use GBIF provided meta-data to improve coordinate quality, tailored to your downstream analyses
- Use automated cleaning algorithms of CoordinateCleaner to identify problematic contributing datasets
- Visualize data on a map
Steps
ID | Name | Description |
---|---|---|
0 | Get species occurrences data | toolshed.g2.bx.psu.edu/repos/ecology/spocc_occ/spocc_occ/0.9.0 |
1 | Filter | Filter1 |
2 | Count | Count1 |
3 | Summary Statistics | Summary_Statistics1 |
4 | Summary Statistics | Summary_Statistics1 |
5 | Filter | Filter1 |
6 | Filter | Filter1 |
7 | Count | Count1 |
8 | Filter | Filter1 |
9 | OGR2ogr | toolshed.g2.bx.psu.edu/repos/ecology/gdal_ogr2ogr/gdal_ogr2ogr/3.0.0 |
10 | OGR2ogr | toolshed.g2.bx.psu.edu/repos/ecology/gdal_ogr2ogr/gdal_ogr2ogr/3.0.0 |
Version History
Version 1 (earliest) Created 18th Nov 2022 at 14:39 by Yvan Le Bras
Initial commit
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Version-1
ba37746
Creators and Submitter
Creator
Submitter
Citation
Le Bras, Y. (2024). GBIF data Quality check and filtering workflow Feb-2020. WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.404.1
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Views: 3293 Downloads: 248 Runs: 0
Created: 18th Nov 2022 at 14:39
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