ABSTRACT

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

chapter 1|8 pages

Introduction

part I|56 pages

Basics

chapter 102|6 pages

Inference and Evidence

chapter 3|12 pages

Data integration in project management

chapter 4|14 pages

Getting started in R

chapter 5|16 pages

Introduction to data frames

chapter 6|6 pages

The Waihi project

part II|132 pages

First steps

chapter 667|16 pages

ggplot2: graphing with the tidyverse

chapter 8|24 pages

Customising a ggplot

chapter 9|18 pages

Data wrangling

chapter 10|20 pages

Data cleaning

chapter 11|16 pages

Working with dates and time

chapter 12|28 pages

Working with spatial data

chapter 13|8 pages

Common R code mistakes and quirks

part III|158 pages

Modelling

chapter 19814|26 pages

Basic statistical concepts

chapter 15|42 pages

Understanding linear models

chapter 16|42 pages

Extensions to linear models

chapter 18|14 pages

Reporting and worked examples

chapter 19|2 pages

Epilogue