Front Matter
Paez, Antonio (2021)
An Introduction to Spatial Data Analysis and Statistics: A Course in R
[Publisher]
ISBN: 978-1-7778515-0-7
In GitHub: https://github.com/paezha/spatial-analysis-r
Antonio Paez
School of Earth, Environment and Society
McMaster University
Hamilton, Ontario
Canada
paezha@mcmaster.ca
https://orcid.org/0000-0001-6912-9919
Allied resources
You can find additional resources for students and instructors here
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 to keep it alive. If you are using this resource, I would encourage you to contribute to help me 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.
Doing this is as easy as editing a wiki page; use the Edit
button in the toolbar to make a pull request (you need to have a GitHub account and be able to fork the repository):
In addition, please feel free to make requests for features or to develop content (see the project’s issue tracker).
0.0.1 License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). This means that you are free to:
- Share it: you can copy and redistribute the material in any medium or format
- Adapt it: you can remix, transform, and build upon the material
Under the following terms:
Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial: You may not use the material for commercial purposes.
ShareAlike: If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions: You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
These freedoms cannot be revoked by the licensor (that is me) as long as you follow the license terms.