Introduction to Environmental Modeling and R

David Courard-Hauri

ISBN 10: 1009674978 / ISBN 13: 9781009674973

Published by Cambridge University Press, 2026

About this Item

Druck auf Anfrage Neuware - Printed after ordering - R is fast becoming ubiquitous in the environmental sciences to analyse data. This book introduces environmental modeling and R. It assumes no background in either coding or calculus. It offers real-world examples, fully described programs, and detailed exercises. Readers learn how to analyse large datasets, create beautiful images, thoughtfully utilize the benefits of AI, and use techniques like optimization and sensitivity analysis in their modelling of complex environmental systems. Using examples from a range of environmental topics - including ecology, conservation, and climate science - the book will interest readers from a broad range of environmental and conservation sciences. Most graduate programs in environmental science and sustainability use R because it is both open source and powerful. R is common in government and consulting work, so students that go on to more advanced environmental modelling courses and potentially careers in the environmental field will find a grounding in R very useful.

Seller Inventory # 9781009674973

Bibliographic Details

• Title: Introduction to Environmental Modeling and R
• Publisher: Cambridge University Press
• Publication Date: 2026
• Language: English
• ISBN 10: 1009674978
• ISBN 13: 9781009674973
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 208H x 21D millimeters 260 millimeters width by 208 millimeters height by 21 millimeters depth
• Weight: 874 grams

About this title

Synopsis

R is fast becoming ubiquitous in the environmental sciences to analyse data. This book introduces environmental modeling and R. It assumes no background in either coding or calculus. It offers real-world examples, fully described programs, and detailed exercises. Readers learn how to analyse large datasets, create beautiful images, thoughtfully utilize the benefits of AI, and use techniques like optimization and sensitivity analysis in their modelling of complex environmental systems. Using examples from a range of environmental topics – including ecology, conservation, and climate science - the book will interest readers from a broad range of environmental and conservation sciences. Most graduate programs in environmental science and sustainability use R because it is both open source and powerful. R is common in government and consulting work, so students that go on to more advanced environmental modelling courses and potentially careers in the environmental field will find a grounding in R very useful.

About the Author

David Courard-Hauri has taught environmental modeling and other quantitative and policy-related courses at Drake University for twenty-five years. He has Ph.D. in Physical Chemistry from Stanford and an MPA with an Economics focus from Princeton, His research spreads across a variety of topics, including chemical dynamics, bacterial and butterfly movement, carbon sequestration, and consumer behavior. He co-authored a series of environmental science textbooks with Andrew Friedland and Rick Relyea.