R Coding for Ecology

Duccio Rocchini

ISBN 10: 303199664X / ISBN 13: 9783031996641

Published by Springer, 2026

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book is devoted to ecological data analysis with R, with examples created by the developers of the described packages. R software is now an important reality in ecological informatics. Specific packages have been developed to manage, analyse and visualize ecological data. This book is a comprehensive catalogue of ecological R packages with running examples! This step-by-step procedure book is aimed at students and researcherswith previous experience in R with a passion for coding their own ecological analyses.

Seller Inventory # 9783031996641

Bibliographic Details

• Title: R Coding for Ecology
• Publisher: Springer
• Publication Date: 2026
• Language: English
• ISBN 10: 303199664X
• ISBN 13: 9783031996641
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 16D millimeters 235 millimeters width by 155 millimeters height by 16 millimeters depth
• Weight: 532 grams

About this title

Synopsis

This book is devoted to ecological data analysis with R, with examples created by the developers of the described packages. R software is now an important reality in ecological informatics. Specific packages have been developed to manage, analyse and visualize ecological data. This book is a comprehensive catalogue of ecological R packages with running examples! This step-by-step procedure book is aimed at students and researchers with previous experience in R with a passion for coding their own ecological analyses. 

About the Author

Duccio Rocchini [born in Siena in 1975] is Full Professor at Alma Mater Studiorum University of Bologna since December 2019, after having been Associate Professor in Biology and Ecology at the University of Trento, Italy. He attained his PhD in 2005, dealing with remote sensing applied to the study of plant communities. His main research interests are related to plant community ecology, biodiversity analysis at multiple spatial scales, species distribution modelling, spatial and computational ecology and ecological remote sensing.

Over the years he promoted the use of remote sensing for the study of biodiversity change in space and time, publishing more than 200 indexed papers on this topic. He is continuing this activity in projects like the H2020 SHOWCASE or the Horizon Europe B3 and EarthBridge projects.