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 approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 11h48m total length

1. Setting up R and QGIS Environments for Geospatial Tasks
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 Susceptability Mapping

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