R for Conservation and Development Projects R for Conservation and Development Projects
Chapman & Hall/CRC The R Series

R for Conservation and Development Projects

A Primer for Practitioners

    • $119.99
    • $119.99

Publisher Description

This book is aimed at conservation and development practitioners who need to learn and use R in a part-time professional context. It gives people with a non-technical background a set of skills to graph, map, and model in R. It also provides background on data integration in project management and covers fundamental statistical concepts. The book aims to demystify R and give practitioners the confidence to use it.

Key Features:

• Viewing data science as part of a greater knowledge and decision making system
• Foundation sections on inference, evidence, and data integration
• Plain English explanations of R functions
• Relatable examples which are typical of activities undertaken by conservation and development organisations in the developing world
• Worked examples showing how data analysis can be incorporated into project reports

GENRE
Computing & Internet
RELEASED
2020
21 December
LANGUAGE
EN
English
LENGTH
394
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
30.9
MB
Practical Business Analytics Using R and Python Practical Business Analytics Using R and Python
2023
End-to-End Data Science with SAS End-to-End Data Science with SAS
2020
Machine Learning Using R Machine Learning Using R
2018
Supervised Learning with Python Supervised Learning with Python
2020
The Beginner's Guide to Data Science The Beginner's Guide to Data Science
2022
Machine Learning in Production Machine Learning in Production
2019
NGF NGF
2011
Quarantine: Millions of Years Ago Quarantine: Millions of Years Ago
2011
Hands-On Machine Learning with R Hands-On Machine Learning with R
2019
Advanced R, Second Edition Advanced R, Second Edition
2019
Introduction to Political Analysis in R Introduction to Political Analysis in R
2025
Displaying Time Series, Spatial, and Space-Time Data with R Displaying Time Series, Spatial, and Space-Time Data with R
2025
Copula Additive Distributional Regression Using R Copula Additive Distributional Regression Using R
2025
Spatio-Temporal Statistics with R Spatio-Temporal Statistics with R
2019