Introduction to Environmental Modeling and R - Couverture souple

Courard-Hauri, David

 
9781009674980: Introduction to Environmental Modeling and R

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781009674973: Introduction to Environmental Modeling and R

Edition présentée

ISBN 10 :  1009674978 ISBN 13 :  9781009674973
Editeur : Cambridge University Press, 2026
Couverture rigide