b0982cd2-8a94-40b0-b61e-b0ebf6156177 1.0 Phytosociological Inventory Comparison: Venn Diagram 2023-12-31T00:00:00 This workflow aims to compare plant species across different natural spaces. The workflow involves downloading and filtering phytosociological inventories, preprocessing data, and unifying it for comparative analysis. The main outputs are a Venn diagram displaying shared and unique species, and a CSV table detailing common and uncommon species. The workflow addresses filter application effectiveness, Venn diagram clarity, species table accuracy, and overall efficiency in processing and visualization, supporting ecological studies of plant distribution.<div><br></div><div>Background</div><div>Comparative analysis of phytosociological inventories across different natural spaces is essential for understanding plant distribution. This workflow focuses on downloading inventories stored in the database, applying distinct filters for each natural space, and conducting a comparative analysis of shared and unique plant species. The primary output includes a Venn diagram representing species intersections and a CSV table detailing common and uncommon plant species across the selected natural spaces.</div><div><br></div><div>Introduction</div><div>In ecological studies, understanding the overlap and uniqueness of plant species across different natural spaces is crucial. This workflow employs phytosociological inventories stored in the database, downloading them separately for each natural space using specific filters. The workflow then conducts a comparative analysis, identifying shared and unique plant species. The visualization includes a Venn diagram for easy interpretation and a CSV table highlighting the common and uncommon species across the selected natural spaces.</div><div><br></div><div>Aims</div><div>The primary aim of this workflow is to facilitate the comparison of phytosociological inventories from different natural spaces, emphasizing shared and unique plant species. The workflow includes the following key components: - Inventory Download and Preprocessing: Downloads phytosociological inventories from the database, applies specific filters for each natural space, and preprocesses the data to retain only the species present in each zone. - Data Unification: Unifies the processed data into a single dataset, facilitating comparative analysis. - Venn Diagram Representation: Generates a Venn diagram to visually represent the overlap and uniqueness of plant species across the selected natural spaces. - Species Table Generation: Creates a CSV table showcasing common and uncommon plant species in the selected natural spaces.</div><div><br></div><div>Scientific Questions</div><div>- Filter Application Effectiveness: How effectively does the workflow apply distinct filters to download inventories for each natural space?</div><div>- Venn Diagram Interpretation: How intuitive and informative is the Venn diagram representation of shared and unique plant species across the selected natural spaces? - Species Table Accuracy: How accurate is the CSV table in presenting common and uncommon plant species in the comparative analysis? - Workflow Efficiency: How efficiently does the workflow streamline the entire process, from data download to visualization, for comparative phytosociological analysis?</div> José Francisco Aldana Montes University of Malaga jfaldana@uma.es Francisco Manuel SÁNCHEZ-CANO LifeWatch ERIC ICT Core franciscom.sanchez@lifewatch.eu Antonio José SÁENZ-ALBANÉS LifeWatch ERIC ICT Core aj.saenz@lifewatch.eu ICT Core Group LifeWatch ERIC ICT Core ict.coordination@lifewatch.eu Phytosociological Inventory Comparative Analysis Plant Species Distribution Natural Spaces Venn Diagram Data Preprocessing Ecological Studies Shared and Unique Species Species Table Filter Application Copyright 2023 Khaos Research Group Load inventory Get inventory flora data in CSV format via JSON collection filtering https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-collection/LoadInventory/1.0.0 Inventory transformation This script performs an inventory data transformation using the Python programming language. https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-processing/InventoryTransformation/1.0.0 Species Statistics Calculation of presence and coverage mean of plant species https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-analysing/SpeciesStatistics/1.0.0 Split Dataset Split the dataset and returns a new one with the chosen columns https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-processing/SplitDataset/1.0.0 Change columns CSV names Change column names https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-processing/ChangeColumnNames/1.0.0 Merge CSV Merge two CSV https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-processing/MergeCsv/1.0.0 Venn Diagram Create a Venn diagram to visually represent the overlap and uniqueness of plant species across the natural spaces. Assess the effectiveness of the filter application, the informativeness of the Venn diagram, and the accuracy of the species table. https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-sink/VennDiagram/1.0.0 https://helpdesk.lifewatch.eu DOI