This is a video tutorial that will try to teach you how to use R for spatial statistics
I’m a PhD student in soil science and in particular my project is about digital soil
mapping. During my work I often use R particularly for geostatstical interpolation.
Despite R being a very powerful statistical language which has became a benchmark
for spatial statistics, it is also a relatively difficult language to learn with
one of the steepest learning curve among programming languages.
For this reason I though about sharing what I’ve learned during my PhD with all the
R community. I prepared this video tutorial because I think that the easy way of
learning R is by examples.
The tutorial is structured as follow: the first two lesson are about the basics of
R, how to handle R objects, plotting and saving your work. This part is intended
for a beginner user who want to learn the language. Starting from the third lesson
I will show examples on how to handle and plotting spatial data and rasters, and
in the last two lesson I will show you how to perform an ordinary and a universal
kriging in R.
In this tutorial I will show you some example that will hopefully help you learning
R in a quicker and easier way. However, this course is not a complete R course, because
R has lots and lots of different functions for every branch of science. For this
reason at the beginning of the course and at the end of the lesson, if appropriate,
I will give you some references if you want to deepen your knowledge.
This video tutorial is completely free. However, if you feel that you learned something
from you I ask you to donate something using the paypal button at the end of the
page. This will help the tutorial to stay free in the future and to increase the
number of lessons.
If you have any suggestion on how to improve the course or if you have any feedback
that you want to share, please send an e-mail to: