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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.<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>

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Date ( Publication)
2023-12-31T00:00:00
Status
On going / operational
Principal investigator
  University of Malaga - José Francisco Aldana Montes

Publisher
  LifeWatch ERIC ICT Core - Francisco Manuel SÁNCHEZ-CANO

Custodian
  LifeWatch ERIC ICT Core - Antonio José SÁENZ-ALBANÉS

Principal investigator
  LifeWatch ERIC ICT Core - ICT Core Group

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

Metadata

File identifier
b0982cd2-8a94-40b0-b61e-b0ebf6156177 XML
Metadata language
en
Hierarchy level
Workflow
Metadata Schema Version

1.0

 
 

Overviews

Spatial extent

Keywords



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