Work

Csv2xyd: A Python Software for Processing Large Biodiversity Datasets for Endemism Analysis

Year: 2025

Type: article

Abstract: Biodiversity repositories are important in biogeography and conservation investigations. A key component of biogeographical research is identifying areas of endemism, which involves examining multiple datasets. Due to this, we developed csv2xyd a Python software with a graphical user interface to process data from CSV to XYD format for endemism analysis. The software detects species with typographical errors, checks taxonomic inconsistencies, removes duplicate occurrences, and offers filtering options. After being tested on large datasets, csv2xyd proved to be an effective tool for data handling. This software enhances the integration of several biodiversity repositories for endemism analysis by optimizing data processing workflow.

Source: Journal of Open Research Software

DOI: 10.5334/jors.538

Authors: Jonathan Liria, Ana Soto-Vivas

Institutions: Universidad Regional Amazónica IKIAM, Central University of Ecuador

Language: English

Topic: Species Distribution and Climate Change

Subfield: Ecological Modeling

Field: Environmental Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: gold

Estimated APC paid: $490