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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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Toc

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

Controlling code execution

So far, all of the code sections we have written were executed once in the same order as they were sent to the command line. However, one of the most important themes in programming is the flow control—operations that are used to control the sequences of our code execution. For example, we may want to induce the execution of a certain code section only if a condition is met (these are called conditional statements), or we may wish to execute a code section several times, over and over again (these are called loops). In this section, you will learn about three flow control commands: two to construct conditional statements and one to construct loops.

Conditioning execution with conditional statements

The purpose of conditional statements is to condition the execution of a given code section. For example, the second expression in the following code section is a conditional statement using the if operator:

> x = 3
> if(x > 2) {print("x is large!...
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