Milena Lakicevic,Nicholas Povak,Keith M. Reynolds
Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R
Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R
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- More about Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R
This textbook is a comprehensive guide to R data analysis in environmental science, covering basic to advanced applications. It is designed for undergraduate students with no prior experience in R, as well as for Masters and PhD students and professionals. The main competencies students will acquire are manipulating and processing data, performing statistical tests, and creating maps in R. It will be useful in various courses related to environmental science and data analysis.
Format: Paperback / softback
Length: 158 pages
Publication date: 21 August 2021
Publisher: Springer Nature Switzerland AG
This comprehensive textbook delves into the realm of R data analysis, specifically tailored to environmental science applications. It begins with foundational examples and progresses to advanced R programming techniques, making it an invaluable resource for undergraduate students with no prior R experience. While the textbook primarily caters to undergraduate students, it also includes chapters dedicated to advanced R applications, making it valuable for Masters and PhD students, as well as professionals in the field.
The textbook is structured to facilitate a gradual learning experience, with examples becoming increasingly complex as the chapters progress. By the end of the book, students will possess a range of essential competencies, including the ability to manipulate and process data tables, conduct statistical tests, and create visually appealing maps using R.
This textbook finds its applications in various undergraduate and graduate courses, including Advanced Landscape Ecology, Analysis of Ecological and Environmental Data, Ecological Modeling, Analytical Methods for Ecologists, Statistical Inference for Applied Research, Elements of Statistical Methods, Computational Ecology, Landscape Metrics and Spatial Statistics. Its comprehensive coverage and practical approach make it an essential resource for students and professionals seeking to excel in data analysis and environmental science.
Weight: 346g
Dimension: 254 x 178 (mm)
ISBN-13: 9783030276058
Edition number: 1st ed. 2020
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