The document highlights a function provided by Keyanswers that enhances data visualization through maps generated using the etopo 1 model, with examples and code available on their GitHub page. This function allows for rapid map creation, facilitating the visualization of sampling station information on maps.

This tutorial provides instructions for creating maps using ggplot2, both with and without shapefiles, to represent occurrence data of species with economic importance.

This tutorial offers concise guidance on obtaining and visualizing distribution data using R and Python, citing Mendoza et al. (2023). The diverse methods covered facilitate effective learning in geospatial analysis and data visualization, promoting a comprehensive understanding of the topic.

This document serves as a tutorial on the various methods for obtaining and visualizing distribution data using R and Python

This paper presents an automated method of plotting radar charts using vectors and datasets using six arguments, which can reduce the time spent on plotting radar charts