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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Detalles Bibliográficos
Otros Autores: Dorman, Michael, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing 2014.
Edición:1st edition
Colección:Community experience distilled.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629564006719
Descripción
Sumario: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.
Notas:Description based upon print version of record.
Descripción Física:1 online resource (364 p.)
Bibliografía:Includes bibliographical references and index.
ISBN:9781783984374