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Learning R for Geospatial Analysis

You're reading from   Learning R for Geospatial Analysis Leverage the power of R to elegantly manage crucial geospatial analysis tasks

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Product type Paperback
Published in Dec 2014
Publisher Packt
ISBN-13 9781783984367
Length 364 pages
Edition 1st Edition
Languages
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Author (1):
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Michael Dorman Michael Dorman
Author Profile Icon Michael Dorman
Michael Dorman
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Table of Contents (13) Chapters Close

Preface 1. The R Environment FREE CHAPTER 2. Working with Vectors and Time Series 3. Working with Tables 4. Working with Rasters 5. Working with Points, Lines, and Polygons 6. Modifying Rasters and Analyzing Raster Time Series 7. Combining Vector and Raster Datasets 8. Spatial Interpolation of Point Data 9. Advanced Visualization of Spatial Data A. External Datasets Used in Examples
B. Cited References
Index

Chapter 1. The R Environment

In this chapter, we are going to introduce the R environment, learn how to install and use it, and introduce some of the main concepts related to writing R code. First, the technical issues of setting up the work environment are covered. After that, we will have R running and ready to receive instructions from the user. The basic concepts related to working in the R environment are also introduced.

In this chapter, we'll cover the following topics:

  • Installing R
  • Using R's command line
  • Editing code using text editors
  • Executing simple commands
  • Arithmetic operations
  • Logical operations
  • Calling functions
  • Understanding errors and warning messages
  • Checking which class a given object belongs to
You have been reading a chapter from
Learning R for Geospatial Analysis
Published in: Dec 2014
Publisher: Packt
ISBN-13: 9781783984367
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