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 by
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.
Hands-On Geospatial Analysis with R and QGIS
- About Book
- Who Is This Book For?
- Book Content
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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