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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

Point Pattern Analysis

In this chapter, we'll learn how to use point pattern analysis in R using the spatstat package. Point pattern analysis allows us to conduct different statistical analyses on point data. In previous chapters, we learned different ways to manage spatial data—both vector and raster data. This chapter looks at how to conduct statistics-related tasks, such as testing for spatial randomness, spatial logistic regression, and analysis of dependence. In many cases, we might need to draw inferences from our data; using point pattern analysis, we can answer all such queries. This chapter will solely focus on using the spatstat package with R only.

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

  • Introduction to point pattern analysis
  • Analysis of point patterns
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