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Hands-On Geospatial Analysis with R and QGIS

You're reading from   Hands-On Geospatial Analysis with R and QGIS A beginner's guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788991674
Length 354 pages
Edition 1st Edition
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Authors (2):
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Brad Hamson Brad Hamson
Author Profile Icon Brad Hamson
Brad Hamson
Shammunul Islam Shammunul Islam
Author Profile Icon Shammunul Islam
Shammunul Islam
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Table of Contents (12) Chapters Close

Preface 1. Setting Up R and QGIS Environments for Geospatial Tasks FREE CHAPTER 2. Fundamentals of GIS Using R and QGIS 3. Creating Geospatial Data 4. Working with Geospatial Data 5. Remote Sensing Using R and QGIS 6. Point Pattern Analysis 7. Spatial Analysis 8. GRASS, Graphical Modelers, and Web Mapping 9. Classification of Remote Sensing Images 10. Landslide Susceptibility Mapping 11. Other Books You May Enjoy

Summary

In this chapter, we've learned how to create vector data and raster data. In doing so, this chapter showed how we can create point, line, and polygon data. Furthermore, it also covered how we can populate different features with attribute values and how we can use the Georeferencer plugin to digitize an image. We ended the chapter by learning how to create spatial databases and how to import shapefiles into them. We've covered just enough to proceed to the next chapters, where we will delve deep into different spatial operations, spatial analysis, and more. We haven't talked in detail about spatial databases and many other operations that could be performed using spatial databases. But the topics covered so far should have equipped you with sufficient resources to dig deeper and, in later chapters, to start applying machine learning models in spatial research...

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