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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

Geometrical calculations on vector layers


In previous sections, we covered the querying of the immediately available properties of vector layers (for example, the CRS definition or attribute table), and the modification of vector layers involving only the attribute table component (for example, removing the attribute table or subsetting the layer according to it). In the next two sections, you will learn to examine and modify the geometrical component of vector layers. In this section, operations involving a single vector layer, such as reprojection and area calculation, will be covered. In the next section, we will deal with operations involving pairs of vector layers.

Reprojecting vector layers

Reprojection is the conversion of all the coordinates of a spatial object from one CRS to another. Note the distinction when specifying a CRS (which we previously did with airports), where only the CRS definition associated with the layer is modified, leaving the coordinates unaltered. The reprojection...

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