Ebook details

Learning R for Geospatial Analysis. Leverage the power of R to elegantly manage crucial geospatial analysis tasks

Learning R for Geospatial Analysis. Leverage the power of R to elegantly manage crucial geospatial analysis tasks

Michael Dorman

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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.
  • 1. The R environment
  • 2. Working with vectors and time series
  • 3. Working with tabular data
  • 4. Working with rasters
  • 5. Working with points, lines and polygons
  • 6. Advanced operations on rasters
  • 7. Combining raster and vector datasets
  • 8. Interpolating point data in space
  • 9. Advanced visualization of spatial data
  • 10. Appendix A: External Datasets Used in Examples
  • 11. Appendix B: Cited References
  • Title:Learning R for Geospatial Analysis. Leverage the power of R to elegantly manage crucial geospatial analysis tasks
  • Author:Michael Dorman
  • Original title:Learning R for Geospatial Analysis. Leverage the power of R to elegantly manage crucial geospatial analysis tasks
  • ISBN:9781783984374, 9781783984374
  • Date of issue:2014-12-26
  • Format:Ebook
  • Item ID: e_3bel
  • Publisher: Packt Publishing