Learning R for Geospatial Analysis

Download or read book Learning R for Geospatial Analysis written by Michael Dorman and published by Packt Publishing Ltd. This book was released on 2014-12-26 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.