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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

2. Fundamentals of GIS Using R and QGIS FREE CHAPTER

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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Unsupervised classification

Unlike supervised classification, in unsupervised classification, the algorithm tries to group or cluster pixels with similar values. In doing so, it tries to group pixels into clusters so that the pixels are homogeneous within clusters and heterogeneous across clusters.

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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.

See other products by Islam

Hamson

Hamson

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