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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Key benefits

Understand the basics of R and QGIS to work with GIS and remote sensing data

Learn to manage, manipulate, and analyze spatial data using R and QGIS

Apply machine learning algorithms to geospatial data using R and QGIS

Description

Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier. This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding. Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms. By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.

What you will learn

Install R and QGIS

Get familiar with the basics of R programming and QGIS

Visualize quantitative and qualitative data to create maps

Find out the basics of raster data and how to use them in R and QGIS

Perform geoprocessing tasks and automate them using the graphical modeler of QGIS

Apply different machine learning algorithms on satellite data for landslide susceptibility mapping and prediction

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

Mastering Geospatial Analysis with Python

$54.99

$43.99

Hands-On Geospatial Analysis with R and QGIS

$54.99

Total $ 153.97

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Stringz Jan 08, 2019

This is a good book for any one wanting a career as a geospatial Analyst. it is fully loaded with an awesome selection of topics. The topics can be leveraged in most big data science analysis. I really enjoyed the progression and the topic selection.

Amazon Verified review

kensuke May 14, 2019

QGISの解説部分は、日本語でこの書籍より安価な本が増えましたので、必要ないです。Rでのspdepパッケージの解説については、空間計量の初歩、重み行列の生成とモラン統計量の求め方、検定手法がソースコード付きでありますので、そのへんの需要があれば買っても良いかな。特に、空間計量の検定については具体的なソースコードの例が、日本語文献だと少ないので、お手本として見るにはよいかもしれない。ただ、その箇所を見るために5000円払うかは迷うところ。

Cliente Amazon Apr 29, 2021

Il libro è stampato da Amazon. Le pagine interne sono in scala di grigio e questo rende difficoltosa la fruizione delle parti illustrate relative alle.schermate di QGIS e R.

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

What do you get with eBook?