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Introduction to R for Terrestrial Ecology Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R /

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced applications of the R programming language. The main objective of the textbook is to serve as a guide for undergraduate students, who have no previous experience with R,...

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Main Authors: Lakicevic, Milena. (Author, http://id.loc.gov/vocabulary/relators/aut), Povak, Nicholas. (http://id.loc.gov/vocabulary/relators/aut), Reynolds, Keith M. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Subjects:
Programming languages (Electronic computers).
Statistics .
Ecology .
Programming Languages, Compilers, Interpreters.
Statistics for Life Sciences, Medicine, Health Sciences.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Terrestial Ecology.
Theoretical Ecology/Statistics.
Online Access:https://doi.org/10.1007/978-3-030-27603-4
Table of Contents:
  • 1. Types of Data in R
  • 2. Numerical Analysis
  • 3. Creating Maps
  • 4. Basic Statistical Tests
  • 5. Predictive Modeling with Machine Learning Applications
  • Appendix.

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