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

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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 .

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:

• Examining the Relationships Between Socioeconomic Variables and

• Evaluating Effects of Population Demographics on Access to Sexual

• Investigating Socio-Economic Disparities in the Damages Caused by

• The Effects of Income and Unemployment on Crime in

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

• proposing changes to the code, e.g. to do things in a more efficient

• making requests to develop content (see the project’s issue

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