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Final project of Computational Methods. Exploring data of cultivated and non-cultivated native plants in the state of Santa Catarina.

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CompMethods-ICTP-SAIFR-Serrapilheira/Cultivated-and-Non-Cultivated-Plants

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2022 Scientific Computing, QBio Program: Final Project

Welcome! This is a repository that contains exercises of exploratory data analysis from plant diversity in the state of Santa Catarina (SC), Brazil using R. The data used here was obtained with the package "BIEN", and the main goal was to understand if there were differences in diversity between cultivated and non-cultivated native species in SC.

This repository was created as an activity from the Scientific Computing class, that was part of the Serrapilheira/ICTP-SAIFR Training Program in Quantitative Biology and Ecology, in 2022.

Project structure

project/
*    ├── data/
*    │   ├── raw
*    │   └── processed
     ├── docs/
*    ├── figs/
     ├── R/
*    └── README.md

The raw data used in the project can be found in data/raw, and processed data can be found in data/processed.

In the docs directory you will find a report, and also the .bib file containing the references.

In the figs directory you will find the graphs generated in this exercise.

In the R directory you will find the scripts.

Requirements

The project was developed in R, using RStudio The packages used were dplyr, BIEN, tidyr, vegan and ggplot2.

Dataset

All data used in this project was obtained using BIEN database.

Instructions

It is possible to reproduce this project following the scripts in order, they can be found in directory R.

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Final project of Computational Methods. Exploring data of cultivated and non-cultivated native plants in the state of Santa Catarina.

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