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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

Using functions with several parameters

A function in R can have more than one parameter. In this section, we are going to get acquainted with supplying several arguments to such functions. At the same time, several new functions that take more than one argument will be introduced.

Supplying more than one argument in a function call

When specifying several arguments in a function, we need to assign each argument to the respective parameter using the usual assignment operator = during the function call, separating the assignment expressions for different parameters with commas.

For example, let's examine the seq function. Its most useful three parameters are from, to, and by (you can see in the function's help page that it has several more parameters). The seq function creates a sequential vector based on the input, as follows:

  • from: This parameter specifies from where to begin
  • to: This parameter specifies where to end
  • by: This parameter specifies the step size

Let's take a look...

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