LifeWatch ERIC Metadata Catalogue
Phytosociological Inventory Comparison: Venn Diagram
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.
Background
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.
Introduction
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.
Aims
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.
Scientific Questions
- Filter Application Effectiveness: How effectively does the workflow apply distinct filters to download inventories for each natural space?
- 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?
Default
Identification
- Date ( Publication )
- 2023-12-31T00:00:00
- Status
- On going / operational
- Version
- 1.0
- Keywords
- Phytosociological Inventory
- Keywords
- Comparative Analysis
- Keywords
- Plant Species Distribution
- Keywords
- Natural Spaces
- Keywords
- Venn Diagram
- Keywords
- Data Preprocessing
- Keywords
- Ecological Studies
- Keywords
- Shared and Unique Species
- Keywords
- Species Table
- Keywords
- Filter Application
- Access constraints
- Copyright
- Other constraints
- Copyright 2023 Khaos Research Group
- Protocol
- DOI
- Service Name
- Load inventory
- Service Description
- Get inventory flora data in CSV format via JSON collection filtering
- Service Reference (id)
- https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-collection/LoadInventory/1.0.0
- Service Name
- Inventory transformation
- Service Description
- This script performs an inventory data transformation using the Python programming language.
- Service Reference (id)
- https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-processing/InventoryTransformation/1.0.0
- Service Name
- Species Statistics
- Service Description
- Calculation of presence and coverage mean of plant species
- Service Reference (id)
- https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-analysing/SpeciesStatistics/1.0.0
- Service Name
- Split Dataset
- Service Description
- Split the dataset and returns a new one with the chosen columns
- Service Reference (id)
- https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-processing/SplitDataset/1.0.0
- Service Name
- Change columns CSV names
- Service Description
- Change column names
- Service Reference (id)
- https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-processing/ChangeColumnNames/1.0.0
- Service Name
- Merge CSV
- Service Description
- Merge two CSV
- Service Reference (id)
- https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-processing/MergeCsv/1.0.0
- Service Name
- Venn Diagram
- Service Description
- 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.
- Service Reference (id)
- https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/data-sink/VennDiagram/1.0.0
- Workflow Helpdesk
- https://helpdesk.lifewatch.eu
