###### –*2021*–

*2021*

https://rkabacoff.github.io/datavis/

This book is an introduction to GIS and spatial analyses in general, with applications in R. It is proposed as a free online book (no pdf or hardcopy).

It is composed of two parts: First a presentation of the concepts, with very clear explanations and amazing illustrations , then the Appendix, with applications in R.

Regarding R aspects, it is very update and builds on sf objects, with sp plots and tmap. I personally prefer ggplot, to have more control on maps, but that’s a matter of taste.

I general, I appreciated the excellent clarity of the text. I definitely recommend this book for beginners and intermediate GIS people (with background in R).

I really enjoyed the “pitfall” sections, which illustrate common problems in GIS/spatial analyses. For example, the problem of data aggregation and apparent correlation – the modifiable aerial unit problem (MAUP) -, section 5, or the issues with projections and topology, section Coordinates in R.

I also greatly enjoyed the section about mapping uncertainty, a topic that is rarely covered, yet very important.

Statistical tests are also very clearly illustrated and explained. For example the Moran test and point patterns analyses.

Even if this books covers most basic aspects of GIS, it remains an introduction. Several aspects could be presented in more details. For example the spatial operations could be developed. You will need another references to be fully operational for these type of operations. The statistical parts could also be improved, and more references given. The pro and cons of the different methods maybe also be developed a bit.

So, overall, this is an excellent book to get started with GIS and spatial analysis in general, and in R. Though, you will probably need to dig in other references for your specific task.

## Programming Level

From

To

* Beginners | ** Fluent in R | *** Advanced Users | **** R Guru and other aliens

#### Interesting features

- Incredibly clear and well illustrated
- Covers typical difficulties, such as projections
- Free!
- Covers many aspects of GIS/Spatial analysis

#### Cons

- Maybe a little simple – but this is meant: it is an introduction.
- No pdf or hardcopy available.
- Sections numbering is mixed up.

Overall, a must read book for beginners and intermediate level R users. I would put it on my shelf if a hardcover was available!

## Contents

**1 Introduction to GIS**

What is a GIS

What is Spatial Analysis

What is an Acronym**2 Working with Spatial Data**

Feature Scales, axes and legends

GIS Data Management

Symbolizing features

Pitfalls to Avoid

Good Map Making Tips

Uncertainty in Census Data

Coordinate Systems

Map Algebra**II Spatial Analysis**

Point Pattern Analysis

Hypotesis testing

Spatial Autocorrelations

Spatial Interpolation**III Appendix**

Reading and writing spatial data in R

Mapping data in R

Mapping rates in R

Vector operations in R

Raster operations in R

Coordinate Systems in R

Point pattern analysis in R

Spatial autocorrelation in R

Interpolation in R**References**