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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

To get a good idea about the various aspects of data management and writing functions in R, please refer to R Cookbook by Paul Teetor and Advanced R by Hadley Wickham. If you are looking for a thorough introduction to QGIS, please refer to the books QGIS2 Cookbook by A Mandel et al and Mastering QGIS by K Menke et al.

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Hands-On Geospatial Analysis with R and QGIS

Published in: Nov 2018

Publisher: Packt

ISBN-13: 9781788991674

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Authors (2)

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.

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Hamson

Hamson

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