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[P505.Ebook] Get Free Ebook , by Roger S. Bivand - Applied Spatial Data Analysis with R (Use R!) (2nd ed. 2013) (6.1.2013), by Roger S. Bivand

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, by Roger S. Bivand - Applied Spatial Data Analysis with R (Use R!) (2nd ed. 2013) (6.1.2013), by Roger S. Bivand

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, by Roger S. Bivand - Applied Spatial Data Analysis with R (Use R!) (2nd ed. 2013) (6.1.2013), by Roger S. Bivand

  • Sales Rank: #6887836 in Books
  • Published on: 2013-06-01
  • Number of items: 2
  • Binding: Paperback

Most helpful customer reviews

23 of 23 people found the following review helpful.
Lots of information, clearly presented.
By E. Eff
This is not a book for a beginner, but is an excellent book for two groups of readers: those who have some background with R and wish to learn about its capabilities for spatial statistics; and those with some background in spatial statistics who wish to learn how to use R. The authors have been the main developers of the spatial statistics packages on R, and therefore know the packages intimately. But the authors also have a deep knowledge of the spatial statistics literature, and I found myself learning something new about these methods in every chapter. Everyone serious about spatial statistics should see what R has to offer. This book is the easiest way to do that.

0 of 0 people found the following review helpful.
Awesome textbook
By David Morris
If you are not used to R, get some familiarity first. This is a great resource for people who are accustomed to R. Would recommend for just about anyone in the environmental/ geographic field.

4 of 4 people found the following review helpful.
Overall good, but could be less technical
By JFB
I was really excited when I ordered this book as it looked like the type of material I had been looking for for ages, but as it turns out I am mildly disappointed in it, primarily because I found the text somewhat hard to grasp and the code not particularly well explained. It is still a very good read though and certainly helped me enhance my knowledge of statistical analyses in R. I would definitely recommend it to anyone looking to examine spatial data in R, but there is a bit of homework to do to be able to understand how all the pieces fit together.

See all 19 customer reviews...

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