Ecoregionalization workflow

Seguineau Pauline

Last updated Sep 16, 2024

Launch in Tutorial Mode question
License: MIT
Tests: ✅ Results: Not yet automated

flowchart TD
  0["ℹ️ Input Dataset\noccurrence.txt"];
  style 0 stroke:#2c3143,stroke-width:4px;
  1["ℹ️ Input Dataset\npivot_wider_jupytool_notebook.ipynb"];
  style 1 stroke:#2c3143,stroke-width:4px;
  2["ℹ️ Input Dataset\nceamarc_env.tsv"];
  style 2 stroke:#2c3143,stroke-width:4px;
  3["Advanced Cut"];
  0 -->|output| 3;
  4["Column Regex Find And Replace"];
  3 -->|output| 4;
  5["Column Regex Find And Replace"];
  4 -->|out_file1| 5;
  6["Column Regex Find And Replace"];
  5 -->|out_file1| 6;
  7["Column Regex Find And Replace"];
  6 -->|out_file1| 7;
  8["Filter Tabular"];
  7 -->|out_file1| 8;
  9["Column Regex Find And Replace"];
  8 -->|output| 9;
  10["Column Regex Find And Replace"];
  9 -->|out_file1| 10;
  11["Column Regex Find And Replace"];
  10 -->|out_file1| 11;
  12["Column Regex Find And Replace"];
  11 -->|out_file1| 12;
  13["Column Regex Find And Replace"];
  12 -->|out_file1| 13;
  14["Merge Columns"];
  13 -->|out_file1| 14;
  15["Advanced Cut"];
  14 -->|out_file1| 15;
  16["Interactive JupyTool and notebook"];
  1 -->|output| 16;
  15 -->|output| 16;
  e86d013c-362b-418b-a75f-cf0ac588b244["Output\nocc_out"];
  16 --> e86d013c-362b-418b-a75f-cf0ac588b244;
  style e86d013c-362b-418b-a75f-cf0ac588b244 stroke:#2c3143,stroke-width:4px;
  17["GeoNearestNeighbor"];
  2 -->|output| 17;
  16 -->|output_dataset| 17;
  ece2b9e8-a7cc-45f1-bd8c-b3e9a36ffb8b["Output\nocc_env_out"];
  17 --> ece2b9e8-a7cc-45f1-bd8c-b3e9a36ffb8b;
  style ece2b9e8-a7cc-45f1-bd8c-b3e9a36ffb8b stroke:#2c3143,stroke-width:4px;
  55cc6b00-4a2c-4bf2-95a2-3d895efb42dc["Output\ninfo_out"];
  17 --> 55cc6b00-4a2c-4bf2-95a2-3d895efb42dc;
  style 55cc6b00-4a2c-4bf2-95a2-3d895efb42dc stroke:#2c3143,stroke-width:4px;
  18["BRT tool prediction"];
  2 -->|output| 18;
  17 -->|occ_env_out| 18;
  ebfea4dd-4333-46cf-add8-927a8c39865b["Output\ncoll_pred"];
  18 --> ebfea4dd-4333-46cf-add8-927a8c39865b;
  style ebfea4dd-4333-46cf-add8-927a8c39865b stroke:#2c3143,stroke-width:4px;
  e0b1f47c-afc7-4e82-a39e-b42348d820ac["Output\ncoll_val"];
  18 --> e0b1f47c-afc7-4e82-a39e-b42348d820ac;
  style e0b1f47c-afc7-4e82-a39e-b42348d820ac stroke:#2c3143,stroke-width:4px;
  377128c2-29d0-432d-8b41-c2e34c9f0d3c["Output\ncoll_distri"];
  18 --> 377128c2-29d0-432d-8b41-c2e34c9f0d3c;
  style 377128c2-29d0-432d-8b41-c2e34c9f0d3c stroke:#2c3143,stroke-width:4px;
  d1dced65-356c-4f01-93b0-e554b01ed587["Output\ncoll_plots"];
  18 --> d1dced65-356c-4f01-93b0-e554b01ed587;
  style d1dced65-356c-4f01-93b0-e554b01ed587 stroke:#2c3143,stroke-width:4px;
  19["TaxaSeeker"];
  2 -->|output| 19;
  17 -->|occ_env_out| 19;
  18 -->|outputpred| 19;
  d0f0dffc-5188-417f-a1c5-d6b267c980ff["Output\nsummary"];
  19 --> d0f0dffc-5188-417f-a1c5-d6b267c980ff;
  style d0f0dffc-5188-417f-a1c5-d6b267c980ff stroke:#2c3143,stroke-width:4px;
  0bd844fe-1aa5-49f8-af4c-4f46a1efad03["Output\ntaxa"];
  19 --> 0bd844fe-1aa5-49f8-af4c-4f46a1efad03;
  style 0bd844fe-1aa5-49f8-af4c-4f46a1efad03 stroke:#2c3143,stroke-width:4px;
  7e678fe1-3dd1-484f-bc74-d5ffe7ecf701["Output\ntaxa_clean"];
  19 --> 7e678fe1-3dd1-484f-bc74-d5ffe7ecf701;
  style 7e678fe1-3dd1-484f-bc74-d5ffe7ecf701 stroke:#2c3143,stroke-width:4px;
  20["ClusterEstimate"];
  2 -->|output| 20;
  18 -->|outputpred| 20;
  19 -->|output2| 20;
  77f28a31-8289-4a8e-a36e-5f5a07f00337["Output\nSIH_index"];
  20 --> 77f28a31-8289-4a8e-a36e-5f5a07f00337;
  style 77f28a31-8289-4a8e-a36e-5f5a07f00337 stroke:#2c3143,stroke-width:4px;
  0ef36bab-479b-4c0c-9cd7-da2fca5b75d9["Output\ndata_to_clus"];
  20 --> 0ef36bab-479b-4c0c-9cd7-da2fca5b75d9;
  style 0ef36bab-479b-4c0c-9cd7-da2fca5b75d9 stroke:#2c3143,stroke-width:4px;
  bdea5a63-2e7c-472b-a91a-260dcba32e31["Output\ndatabio_table"];
  20 --> bdea5a63-2e7c-472b-a91a-260dcba32e31;
  style bdea5a63-2e7c-472b-a91a-260dcba32e31 stroke:#2c3143,stroke-width:4px;
  21["ClaraClust"];
  2 -->|output| 21;
  20 -->|output3| 21;
  20 -->|output2| 21;
  b9a57d8b-70d6-43a0-bb46-b35bc349a367["Output\nSIH_plot"];
  21 --> b9a57d8b-70d6-43a0-bb46-b35bc349a367;
  style b9a57d8b-70d6-43a0-bb46-b35bc349a367 stroke:#2c3143,stroke-width:4px;
  da3a124b-4e27-4785-8053-c2f31dfb446d["Output\ncluster_points"];
  21 --> da3a124b-4e27-4785-8053-c2f31dfb446d;
  style da3a124b-4e27-4785-8053-c2f31dfb446d stroke:#2c3143,stroke-width:4px;
  ea56c60c-36d4-4857-a5cb-9fe3c2b915af["Output\ncluster_info"];
  21 --> ea56c60c-36d4-4857-a5cb-9fe3c2b915af;
  style ea56c60c-36d4-4857-a5cb-9fe3c2b915af stroke:#2c3143,stroke-width:4px;
  22["EcoMap"];
  21 -->|output2| 22;
  f03b9aff-2101-447a-a5dc-c0258cf3df5b["Output\neco_map"];
  22 --> f03b9aff-2101-447a-a5dc-c0258cf3df5b;
  style f03b9aff-2101-447a-a5dc-c0258cf3df5b stroke:#2c3143,stroke-width:4px;