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Reorder outputs
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glaroc committed Oct 5, 2023
1 parent e03ac8c commit 4c20c22
Showing 1 changed file with 39 additions and 39 deletions.
78 changes: 39 additions & 39 deletions pipelines/SDM/BRT_julia_viewer.json
Original file line number Diff line number Diff line change
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"id": "33",
"type": "output",
"position": {
"x": 2379.6499938964844,
"y": 122
"x": 2396.121814241836,
"y": 98.93945151650797
},
"data": {
"label": "Output"
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}
},
{
"id": "38",
"id": "39",
"type": "output",
"position": {
"x": 1504.2802457138919,
"y": 294.44054742414664
"x": 2687.4770663161003,
"y": 233.61776005508665
},
"data": {
"label": "Output"
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"id": "reactflow__edge-30-37"
},
{
"source": "1",
"sourceHandle": "total_records",
"target": "38",
"source": "21",
"sourceHandle": "n_clean",
"target": "39",
"targetHandle": null,
"id": "reactflow__edge-1total_records-38"
"id": "reactflow__edge-21n_clean-39"
}
],
"inputs": {
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}
},
"outputs": {
"pipeline@30": {
"label": "Species name",
"description": "Species for which the distribution model is generated",
"weight": 1
},
"filtering>cleanCoordinates.yml@21|clean_presence": {
"description": "Dataframe, table with clean presence points from GBIF for selected species",
"label": "Presences",
"type": "text/tab-separated-values",
"weight": 2
},
"data>pyLoadObservations>pyLoadObservations.yml@1|total_records": {
"description": "Total number of GBIF occurrences in csv file",
"label": "Total number of occurrences",
"type": "int",
"example": 1234,
"weight": 3
},
"SDM>julia_sdms>pcaLayers.yml@13|predictors": {
"description": "Environmental layers used as predictors in model fitting",
"label": "Environmental predictors",
"type": "image/tiff;application=geotiff[]",
"weight": 4
},
"data>loadFromStac.yml@18|rasters": {
"description": "Land cover layer used for masking non terrestrial pixels",
"label": "Land cover map",
"type": "image/tiff;application=geotiff[]",
"weight": 5
},
"SDM>julia_sdms>fitBRT.yml@24|fit_stats": {
"description": "Model fit statistics and threshold",
"label": "Fit statistics",
"type": "text/json",
"weight": 6
},
"SDM>julia_sdms>fitBRT.yml@24|sdm": {
"description": "Map of predicted occurrence probability for selected species using Booster Regression Trees",
"label": "Predictions",
Expand All @@ -707,6 +677,36 @@
"label": "Spatial uncertainty",
"type": "image/tiff;application=geotiff",
"weight": 8
},
"SDM>julia_sdms>fitBRT.yml@24|fit_stats": {
"description": "Model fit statistics and threshold",
"label": "Fit statistics",
"type": "text/json",
"weight": 6
},
"filtering>cleanCoordinates.yml@21|clean_presence": {
"description": "Dataframe, table with clean presence points from GBIF for selected species",
"label": "Presences",
"type": "text/tab-separated-values",
"weight": 2
},
"data>loadFromStac.yml@18|rasters": {
"description": "Land cover layer used for masking non terrestrial pixels",
"label": "Land cover map",
"type": "image/tiff;application=geotiff[]",
"weight": 5
},
"pipeline@30": {
"label": "Species name",
"description": "Species for which the distribution model is generated",
"weight": 1
},
"filtering>cleanCoordinates.yml@21|n_clean": {
"description": "Number of occurrences from GBIF after data cleaning",
"label": "Number of occurrences",
"type": "int",
"example": 400,
"weight": 3
}
},
"metadata": {
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