[{"id":371,"title":"Cleaning Biodiversity Data in R","url":"https://dresa.org.au/materials/cleaning-biodiversity-data-in-r.json","description":"This book is a practical guide for cleaning geo-referenced biodiversity data using R. It focuses specifically on the processes and challenges you’ll face with biodiversity data. As such, this book isn’t a general guide to data cleaning but a targeted resource for those working with or interested in ecology, evolution, and geo-referenced biodiversity data.","doi":"","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":370,"title":"ALA Labs","url":"https://dresa.org.au/materials/ala-labs.json","description":"ALA Labs provides resources and articles from the Atlas of Living Australia's Science and Decision Support team. On the website, you can find:\r\n\r\n- Posts: Code, articles, analyses and visualisations that will hopefully help you in your own work\r\n- Research: Highlighted summaries of scientific research that has used data from the Atlas of Living Australia\r\n- Software: R \u0026amp; Python packages that the Science \u0026amp; Decision Support team manage\r\n- Books: Long-form resources with best-practice data wrangling and visualisation\r\n- Gallery: Showcasing external work that uses tools from ALA Labs","doi":"","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":341,"title":"Get started with R: an introduction for beginners","url":"https://dresa.org.au/materials/get-started-with-r-an-introduction-for-beginners.json","description":"These two videos walk through the \"R for Ecologists\" module offered by the Data Carpentries https://datacarpentry.org/R-ecology-lesson/ \r\n\r\nThe first video: Manipulating Data covers:\r\nOpening R, setting your working directory, reading and downloading csv files, selecting and filtering data, using pipeline operators, creating new columns based on existing ones, and summarising data\r\n\r\nThe second video: Visualising data with ggplot2 covers:\r\nA recap of module 1 and getting started with ggplot2 to create plots and a variety of data visualisations\r\n\r\nLinks to the R scripts are provided","doi":"","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]}]