Learning R for Geospatial Analysis (Repost)
Learning R for Geospatial Analysis By Michael Dorman
2014 | 364 Pages | ISBN: 1783984368 | PDF | 10 MB
2014 | 364 Pages | ISBN: 1783984368 | PDF | 10 MB
Leverage the power of R to elegantly manage crucial geospatial analysis tasks About This Book Write powerful R scripts to manipulate your spatial data Gain insight from spatial patterns utilizing R's advanced computation and visualization capabilities Work within a single spatial analysis environment from start to finish Who This Book Is For 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.