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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

Product type Paperback

Published in Nov 2018

Publisher Packt

ISBN-13 9781788991674

Length 354 pages

Edition 1st Edition

Languages

R

Tools

QGIS

Concepts

Geospatial Analysis

Authors (2):

Brad Hamson

Shammunul Islam

View More author details

Table of Contents (12) Chapters

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

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Further reading

We've shown how to create vector data but haven't touched upon the topic of topological error correction. Furthermore, we haven't gone into detail about the various options offered by the GDAL Georeferencer plugin. The book Mastering QGIS, by Menke et al, goes into detail explaining these.

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Authors (2)

Hamson

Hamson

See other products by Hamson

Islam

Islam

Shammunul Islam is a consulting spatial data scientist at the Institute of Remote Sensing, Jahangirnagar University, and a senior consultant at ERI, Bangladesh. He develops applications for automating geospatial and statistical analysis in different domains such as in the fields of the environment, climate, and socio-economy. He also consults as a survey statistician and provides corporate training on data science to businesses. He holds an MA in Climate and Society from Columbia University, an MA in development studies, and a BSc in statistics.

See other products by Islam

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