Download An Introduction to R for Spatial Analysis and Mapping (Spatial Analytics and GIS)

Download An Introduction to R for Spatial Analysis and Mapping (Spatial Analytics and GIS)

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An Introduction to R for Spatial Analysis and Mapping (Spatial Analytics and GIS)

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Review

There′s no better text for showing students and data analysts how to use R for spatial analysis, mapping and reproducible research. If you want to learn how to make sense of geographic data and would like the tools to do it, this is your guide. Author: Richard HarrisStudents and other life-long learners need flexible skills to add value to spatial data. This comprehensive, accessible and thoughtful book unlocks the spatial data value chain. It provides an essential guide to the R spatial analysis ecosystem. This excellent state-of-the-art treatment will be widely used in student classes, continuing professional development and self-tuition. Author: Paul LongleyIn this second edition, the authors have once again captured the state of the art in one of the most widely used approaches to spatial analysis. Spanning from the absolute beginner to more advanced concepts and underpinned by a strong ‘learn by doing’ ethos, this book is ideally suited for both students and teachers of spatial analysis using R. Author: Jonny HuckA timely update to the de facto reference and textbook for anyone ― geographer, planner, or (geo)data scientist ― needing to undertake mapping and spatial analysis in R. Complete with self-tests and valuable insights into the transition from sp to sf, this book will help you to develop your ability to write flexible, powerful, and fast geospatial code in R. Author: Jonathan ReadesBrunsdon and Comber’s 2nd edition of their acclaimed text book is updated with the key developments in spatial analysis and mapping in R and maintains the pedagogic style that made the original volume such an indispensable resource for teaching and research. Author: Scott OrfordThe future of GIS is open-source! An Introduction to R for Spatial Analysis and Mapping is an ideal introduction to spatial data analysis and mapping using the powerful open-source language R. Assuming no prior knowledge, Brunsdon and Comber get the reader up to speed quickly with clear writing, excellent pedagogic material and a keen sense of geographic applications. The second edition is timely and fresh. An Introduction to R for Spatial Analysis and Mapping should be required reading for every Geography and GIS student, as well as faculty and professionals. Author: Harvey MillerWhile there are many books that provide an introduction to R, this is one of the few that provides both a general and an application-specific (spatial analysis) introduction and is therefore far more useful and accessible. Written by two experts in the field, it covers both the theory and practice of spatial statistical analysis and will be an important addition to the bookshelves of researchers whose spatial analysis needs have outgrown currently available GIS software. Author: Jennifer MillerBrunsdon and Comber have produced that rare text that is both an introduction to the field of spatial analysis and, simultaneously, to the programming language R. It has been my go-to text in teaching either subject and this new edition updates and expands an already deeply comprehensive work. Author: Jim Thatcher

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About the Author

Chris Brunsdon is Professor of Geocomputation at the National University of Ireland, Maynooth. He studied Mathematics at the University of Durham and Medical Statistics at the University of Newcastle upon Tyne, and has worked in a number of universities, holding the Chair in Human Geography at Liverpool University before taking up his current position.  His research interests are in health, crime and environmental data analysis,  and in the development of spatial analytical tools, including Geographically Weighted Regression approach. He also has interests in the software tools used to develop such approaches, including R.

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Product details

Series: Spatial Analytics and GIS

Paperback: 336 pages

Publisher: SAGE Publications Ltd; Second edition (January 10, 2019)

Language: English

ISBN-10: 1526428504

ISBN-13: 978-1526428509

Product Dimensions:

6.6 x 0.8 x 9.4 inches

Shipping Weight: 1.4 pounds (View shipping rates and policies)

Average Customer Review:

3.3 out of 5 stars

3 customer reviews

Amazon Best Sellers Rank:

#405,097 in Books (See Top 100 in Books)

I am finding a lot of apparent errors in the text and, most importantly, in the answers to the self-test questions. Answer keys are incomplete and often do not work in any version of R.

So if you are in charge of gerrymandering, this is the book for you. Not joking here. This book teaches very specific skill sets for R for mapping and spatial analysis. This is an instructional book, meant to teach you, not a set of instructions to blindly follow. As a teacher, I am impressed with the careful job the authors do to outline the concept, give practice, and extend the idea. I have one complaint, and I am taking a star for this, the code is printed in small (maybe 9 point?) and light font (see photo). In spite of what you might think some of us using this are not in our twenties, and it is difficult to read. The directions are in perfectly readable font.I am not going to go into the advantages and disadvantages of R here, because if you are considering this book, you already know. Instead I will list the chapters so you can see if this covers what you need:Intro: (basics about getting and running R)Data and PlotsBasics of Handling Spatial DAta in RScripting and writing functions in RUsing R as a GISPoint Pattern Analysis using RSpatial Attribute Analysis using RLocalized Spatial analysisR and Internet DataEpilogue.This is a book to really develop your programming skills if you take the time to work through it.

As the title of this review says... this is an excellent text. It provides everything you need to know to use R for spatial analysis and mapping. I especially liked the presentation on ggplot which is new in this edition. This volume is both accessible and comprehensive.

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