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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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Installing QGIS

QGIS is a free and open source geographic information system (GIS) that we can use for various spatial data management and analysis tasks for different fields, such as geography, environmental science, disaster management, urban planning, climate science, and many other fields that use spatial data. The strength of QGIS lies in the fact that it is an open source platform coupled with different plugins available for computing different tasks.

QGIS can be installed in different operating systems such as Windows, Mac, Linux, Android, and so on. QGIS can be installed from the following site:

http://download.osgeo.org/qgis/win64/

After going to the previously mentioned website, we will scroll down and click on QGIS-OSGeo4W-3.2.2-1-Setup-x86_64.exe to download QGIS 3.2.2-1 (or click on the installer relevant to the operating system you are using):

Now, if you are a Mac user, you need to install the Geospatial Data Abstraction Library (GDAL) framework and the matplotlib module of Python before installing QGIS. You can do so from this address: http://www.kyngchaos.com/software/qgis

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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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