Book

Hands-On Geospatial Analysis with R and QGIS

Managing spatial data has always been challenging and it’s getting more complex as the size of data increases. This book is your companion to understand, manage, and analyze spatial data effectively using R and QGIS. You’ll learn to use different statistical analyses with spatial data and automate spatial tasks. You’ll also learn to classify remote sensing data and use a machine learning approach to map landslide susceptibility.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

11h48m

Language

English

About Book

Who Is This Book For?

This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.

Book content

chapters 11h48m total length

Setting up R and QGIS Environments for Geospatial Tasks

Fundamentals of GIS Using R and QGIS

Creating Geospatial Data

Working with Geospatial Data

Remote Sensing Using R and QGIS

Point Pattern Analysis

Spatial Analysis

GRASS, Graphical Modelers, and Web Mapping

Classification of Remote Sensing Images

Landslide Susceptability Mapping

Related Resources

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