diff --git a/pipelines/SDM/BRT_julia_viewer.json b/pipelines/SDM/BRT_julia_viewer.json index d69ace81..0097826b 100644 --- a/pipelines/SDM/BRT_julia_viewer.json +++ b/pipelines/SDM/BRT_julia_viewer.json @@ -660,45 +660,53 @@ } }, "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[]" + "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", - "type": "image/tiff;application=geotiff" + "type": "image/tiff;application=geotiff", + "weight": 7 }, "SDM>julia_sdms>fitBRT.yml@24|sdm_uncertainty": { "description": "Map of relative uncertainty of predictions", "label": "Spatial uncertainty", - "type": "image/tiff;application=geotiff" - }, - "SDM>julia_sdms>fitBRT.yml@24|fit_stats": { - "description": "Model fit statistics and threshold", - "label": "Fit statistics", - "type": "text/json" - }, - "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" - }, - "data>loadFromStac.yml@18|rasters": { - "description": "Land cover layer used for masking non terrestrial pixels", - "label": "Land cover map", - "type": "image/tiff;application=geotiff[]" - }, - "pipeline@30": { - "label": "Species name", - "description": "Species for which the distribution model is generated" - }, - "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 + "type": "image/tiff;application=geotiff", + "weight": 8 } }, "metadata": { @@ -710,7 +718,7 @@ "identifier": "https://orcid.org/0000-0002-6506-6487" }, { - "name": "Thimothé Poisoit", + "name": "Thimothée Poisot", "identifier": "https://orcid.org/0000-0002-0735-5184" } ],