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Product details
File Size: 13910 KB
Print Length: 366 pages
Page Numbers Source ISBN: 1783984368
Publisher: Packt Publishing (December 26, 2014)
Publication Date: December 26, 2014
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B00RP13C6G
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Very straightforward. Although I had a rudimentary understanding of R beforehand, I believe anyone with interest in the topic can pick this up.
This book is clearly written and comprehensive, containing many tips about use of R in addition to its core spatial content. Code is available through the internet - essential really. I can hardly recommend this book too much for developing skills in spatial analysis.
This book will likely be a great resource for new users to R who hope to perform geospatial analyses. The first three chapters of the book provide a very basic level introduction to the R language and environment that will be useful to new readers, but may be found extraneous and unnecessary for those familiar with using R and only seeking further information on geospatial analysis. There are small instances of when the code supplied in the text is specific to a Windows PC environment, so new users on a different operating system will be left on their own to figure this step out; though it is not a difficult step. Advanced R users may also find the repeated instances throughout the chapters of how to load and look at your data to be tedious. Though I have not assessed this book in its entirety, I found the discussion on working with layers of data very useful to tasks I have tried implementing in the past. The book does a good job of describing many of the existing mapping tools that R is capable of, and should be useful to future researchers and data scientists.
This is a great intro for geospatial analysis. The book is self contained and gives you a brief practical intro to R. The first three chapters give you the basics of the data structures and libraries you need to understand to follow the remaining chapters of the book.In chapter 4 is where the fun part starts. The intro to each chapter is clear and concise and the examples are nice to work with. The visualizations are great.The ebook has the images in full color, not sure about the printed version.Even though the author uses Windows file paths in their examples, it was easy to adjust them to work on a Mac using RStudio. The book provides a complete set of images and raster files as part of the source code.I wish the author had included examples of least-cost paths. It was just mentioned briefly.In summary I would recommend this book as a great intro to R and geospatial analysis and visualization.
This book is an extraordinary introduction to geospatial analysis.At first You could get feeling that this book is so good mostly because of inate expressiveness of R.But real truth is that it's excellent selection of examples and it's methodical approach reveals R, it's geo libraries, and geospatial analysis as such in clear and simple way.And I am saying that after browsing thru dozens and dozens other geospatial books and environments.
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