Statistics in Natural Resources: Applications with R

Develop analytical and visualization skills for investigating the behavior of agricultural and natural resources data. Become competent in importing, analyzing, and visualizing complex data sets in the R environment. Recode, combine, and restructure data sets for statistical analysis and visualization. Appreciate probability concepts as they apply to environmental problems. Understand common distributions used in statistical applications and inference. Summarize data effectively and efficiently for reporting purposes. Learn the tasks required to perform a variety of statistical hypothesis tests and interpret their results. Understand which modeling frameworks are appropriate for your data and how to interpret predictions. Includes over 130 exercises in R, with solutions available on the book's website.

Format: Hardback
Length: 334 pages
Publication date: 19 August 2022
Publisher: Taylor & Francis Ltd

Develop your analytical and visualization skills to delve into the intricate behavior of agricultural and natural resources data. Gain expertise in importing, analyzing, and visualizing complex data sets within the R environment, enabling you to extract valuable insights. Recode, combine, and restructure data sets to facilitate statistical analysis and visualization. Understand probability concepts as they apply to environmental problems, grasping common distributions used in statistical applications and inference. Effectively summarize data for reporting purposes, showcasing your ability to convey information concisely. Learn the tasks involved in conducting various statistical hypothesis tests and interpreting their results. Understand which modeling frameworks are best suited for your data and how to interpret predictions.

This comprehensive course includes over 130 exercises in R, with comprehensive solutions available on the book's website. Embark on a journey of data exploration and interpretation, equipping yourself with the tools to make informed decisions based on empirical evidence. Unlock the secrets of agricultural and natural resources data and gain a competitive edge in your field.

Weight: 696g
Dimension: 162 x 242 x 22 (mm)
ISBN-13: 9781032258782