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Learning R for Geospatial Analysis Michael Dorman
Learning R for Geospatial Analysis
Michael Dorman
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.
364 pages
| Médias | Autre MISC (Divers) |
| Validé | 28 décembre 2014 |
| Date de publication originale | 2023 |
| ISBN13 | 9781783984367 |
| Étiquette | Packt Publishing Limited |
| Pages | 364 |
| Dimensions | 235 × 193 × 23 mm · 625 g |
| Langue et grammaire | Anglais |
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