This is a video tutorial that will try to teach you how to use R for spatial statistics and interpolation.
For 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 my experience to hopefully ease the learning process. I prepared this video tutorial because I think that the easy way of learning R is by following examples.
The tutorial is structured as follow: the first two lessons are about the basics of R, how to handle R objects, plotting and saving your work. This part is intended for beginners 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 lessons I will show you how to perform ordinary and universal kriging in R.
In this tutorial I will show you some examples 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 each lesson, if appropriate, I will give you some references if you want to deepen your knowledge.