R for Incident Analysis
Chapter 1 Introduction
Rightwatching is a project to help counselling organisations and watchdogs to monitor far-right and racist violence. The project was funded from the German Minstry of Education and Research through the Prototype Fund.
This book is for three purposes:
- Head to chapter 2 if you’re a user of our app.
- You can use the chapter 3 to run your own instance of a dockerized shiny app obtaining and analysing far-right violence. This requires some technical background and a server.
- You can use the chapter 5 for R scripts and snippets to create charts and maps out of your own incident data. If you have a data file with your own incidents, head there. You should know a bit about the R programming language.
1.1 How to use this book
This book is mainly written for people who deal with - often violent - incidents. Read more about our concept of incident data here 4
Throughout this book we use the term chronicle for a table of incidents. We mainly focus on generating publication-oriented static charts and maps.
- The chapter 5 will guide how to get your incidents into such a table.
- The chapter 6 will show you some basic charts and maps to generate out of your incident data.
- The chapter 7 has some recipes for external data (i.e. not your own incident data) to enhance your incident data.
- The chapter 8 provides some quick methods to check your incidents against
1.2 Does it need such a book?
We believe incident monitoring is critical in many areas. Many chapters of this book have been inspired from work in armed conflict and monitoring of racist and right-wing violence. Any sort of incidents with an impact on humans could benefit from the recipes in this book.