Overview
Dive into the intricate world of geospatial data with "Hands-On Geospatial Analysis with R and QGIS". This book guides readers through managing, analyzing, and visualizing spatial data using the popular tools R and QGIS. Packed with practical examples, it empowers you to effectively handle GIS and remote sensing data in your projects.
What this Book will help me do
- Understand how to install and set up R and QGIS environments for geospatial tasks.
- Learn the fundamentals of spatial data processing, including management, visualization, and analysis.
- Create compelling geospatial visualizations using R packages like ggplot2 and tools in QGIS.
- Master raster data handling and leverage the QGIS graphical modeler for automating geoprocessing tasks.
- Apply machine learning techniques to geospatial problems such as landslide susceptibility mapping using real-world data.
Author(s)
None Hamson and None Islam are experts in the field of geospatial analysis and provide practical, actionable insights throughout this book. With extensive experience in GIS and remote sensing technologies, they focus on guiding readers from basic principles to advanced applications. Their collaborative teaching style ensures clarity and accessibility for learners at different skill levels.
Who is it for?
This book is ideal for geographers, environmental scientists, and other professionals working with spatial data. Beginner to intermediate-level readers will find it approachable, with step-by-step instructions to build their expertise. While prior familiarity with R or QGIS can be helpful, it is not required. The book is tailored for those eager to expand their skills in geospatial data analysis and visualization.