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Applied Spatial Data Analysis with R (Use R!) 1st Edition

4.9 4.9 out of 5 stars 18 ratings
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Applied Spatial Data Analysis with R (Use R!, 10)
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  1. ISBN-10
    0387781706
  2. ISBN-13
    978-0387781709
  3. Edition
    1st
  4. Publisher
    Springer
  5. Publication date
    January 1, 2008
  6. Language
    English
  7. Dimensions
    6.1 x 0.88 x 9.25 inches
  8. Print length
    392 pages
  9. See all details
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Product details

  • Publisher ‏ : ‎ Springer; 1st edition (January 1, 2008)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 392 pages
  • ISBN-10 ‏ : ‎ 0387781706
  • ISBN-13 ‏ : ‎ 978-0387781709
  • Item Weight ‏ : ‎ 1.21 pounds
  • Dimensions ‏ : ‎ 6.1 x 0.88 x 9.25 inches
  • Customer Reviews:
    4.9 4.9 out of 5 stars 18 ratings

About the author

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Roger Bivand

Roger Bivand

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Customer reviews

4.9 out of 5 stars
4.9 out of 5
18 global ratings

Top reviews from the United States

E. Eff
5.0 out of 5 stars Lots of information, clearly presented.
Reviewed in the United States on January 4, 2009
Verified Purchase
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.
26 people found this helpful
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Ecologist
5.0 out of 5 stars Excellent Guidebook
Reviewed in the United States on September 10, 2014
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This is a great book that I refer to on a regular basis. There is a sufficient amount of math, so that users have some background on procedures. There is a great collection of examples with R code so that procedures can be easily implemented. Most of the procedures use standard frequentist methods, though there are a few examples of Bayesian analyses. Highly recommended for applied scientists who are comfortable with basic concepts of statistics, R, and GIS.
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David L
5.0 out of 5 stars Just what is needed
Reviewed in the United States on February 6, 2010
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This book fills a gap in the Spatial Statistics literature. Most of the treatises are heavy on the math, and I find it difficult to bridge the gap between the formulas and applying them. The modules for R take care of this for you and leave you to interpret the result. This book covers most of these modules and demonstrates how to use them. Really worth getting. There is also the ESRI Guide to GIS Analysis Vol 2, but it is more of an introductory text.
5 people found this helpful
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Rodrigo
5.0 out of 5 stars Excelent Book!
Reviewed in the United States on July 15, 2009
Verified Purchase
Do you know that felling you may have when you found exactly what you were looking for? Well, that was the felling I had when started to read this book. It brings detailed information about how you can and should use the spatial data analysis resources of R, with interactive examples and enlighten explanations. You will really understand what you are doing and will find ways to represent it the best way you could.
4 people found this helpful
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Norma Galyon
5.0 out of 5 stars The price was also a great find into todays market
Reviewed in the United States on August 17, 2015
Verified Purchase
I purchased this book for a professor in our department. I had purchased another book from GoodWell of Silicon Valley from another professor. Both professors were impressed with the quality of the used book and the price. The price was also a great find into todays market.
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Jose I. Miranda
5.0 out of 5 stars Applied Spatial Data Analysis with R
Reviewed in the United States on June 28, 2011
Verified Purchase
Hi all:

The book covers a wide range of spatial data applications with R. It has lots of handy example code in R. For me, it's very useful.
One person found this helpful
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JFB
4.0 out of 5 stars Overall good, but could be less technical
Reviewed in the United States on May 15, 2010
Verified Purchase
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.
4 people found this helpful
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GeoVizer
5.0 out of 5 stars The best practial introduction to R spatial
Reviewed in the United States on December 19, 2008
The R spatial packages are the leading edge for spatial analysis and spatial statistics. This book, by the primary developers of the R Spatial packages, is the best introduction to the subject that I have seen.

Now, if you are comfortable with it, you can dive an and download R and R spatial and go to town. But if you need some help, this is a good place to start. This would also make a good textbook for a class on spatial analysis.
16 people found this helpful
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Gabriele Kircher
5.0 out of 5 stars Applied Spatial Data Analysis with R
Reviewed in Germany on November 28, 2013
Verified Purchase
Wir benötigen dieses Buch für unsere Vorlesungen an der Universität.
Es ist Fachliteratur, d. h. man muss sich mit dem Thema schon mal auseinandergesetzt haben.
Für Fachleute sehr interessant.
One person found this helpful
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