Learning R for geospatial analysis leverage the power of R to elegantly manage crucial geospatial analysis tasks

This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with...

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Bibliographic Details
Other Authors: Dorman, Michael, author (author)
Format: eBook
Language:Inglés
Published: Birmingham, England : Packt Publishing 2014.
Edition:1st edition
Series:Community experience distilled.
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629564006719
Description
Summary:This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with the basic geographic information concepts (such as spatial coordinates), but no prior experience with R and/or programming is required. By focusing on R exclusively, you will not need to depend on any external software-a working installation of R is all that is necessary to begin.
Item Description:Description based upon print version of record.
Physical Description:1 online resource (364 p.)
Bibliography:Includes bibliographical references and index.
ISBN:9781783984374