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An Introduction to Spatial Data Analysis and Statistics: A Course in R

GitHub all contributors [GitHub commit activity Launch Rstudio Binder DOI

Introduction

This repository hosts the code underlying the book An Introduction to Spatial Data Analysis and Statistics: A Course in R, by Antonio Paez:

Paez A (2021). An Introduction to Spatial Data Analysis and Statistics: A Course in R. McMaster Invisible Press. ISBN: 978-1-7778515-0-7

The book is free to read online at https://paezha.github.io/spatial-analysis-r.

Resources for Students and Instructors

Presentation slides

I have created a set of presentation slides in mentimeter for each substantive chapter in the book. I use these as mini-lectures in a flipped classroom format in my course, but they can be used as a template for creating longer presentations or lectures.

Chapter Mentimeter Slides Static pdf file
Chapter 3 Introduction to Mapping pdf
Chapter 5 Mapping in R Continued pdf
Chapter 7 Maps as Processes pdf
Chapter 9 Point Pattern Analysis I pdf
Chapter 11 Point Pattern Analysis II pdf
Chapter 13 Point Pattern Analysis III pdf
Chapter 15 Point Pattern Analysis IV pdf
Chapter 17 Point Pattern Analysis V pdf
Chapter 19 Area Data I pdf
Chapter 21 Area Data II pdf
Chapter 23 Area Data III pdf
Chapter 25 Area Data IV pdf
Chapter 27 Area Data V pdf
Chapter 29 Area Data VI pdf
Chapter 31 Spatially Continuous Data I pdf
Chapter 33 Spatially Continuous Data II pdf
Chapter 35 Spatially Continuous Data III pdf
Chapter 37 Spatially Continuous Data IV pdf

Template repository for projects

I created a template repository to help students get started with the use of GitHub and R Markdown for collaborative work on term projects. In my own course adoption of this workflow is completely optional. Not every student/group has the inclination/time to adopt this approach, but those who do produce very professional-looking reports and learn valuable skills.

Examples of projects

These are examples of projects completed in this course:

Contributing

An advantage of an Open Educational Resource compared to traditional publishing (besides it being free!) is that it is a live, ongoing project, for as long as anyone cares for it. If you are using this resource, I would encourage you to contribute to improve it, by:

  • suggesting improvements to the text, e.g. clarifying unclear sentences, fixing typos (see guidance from Yihui Xie);
  • proposing changes to the code, e.g. to do things in a more efficient way; and
  • making requests to develop content (see the project’s issue tracker).

Many thanks to all contributors to the book so far via GitHub (this list will update automatically): soukhova, Robinlovelace.