This book, "Mastering Geospatial Development with QGIS 3.x", is your comprehensive guide to becoming skilled in QGIS, an open-source GIS software. Covering functionalities of QGIS 3.4 and 3.6, you will advance your knowledge in spatial data analysis, styling, and spatial database management through practical examples and in-depth discussions. What this Book will help me do Understand the latest features and updates in QGIS 3.6. Master spatial data styling for impactful geographic visualizations. Learn to create and manage spatial databases and GeoPackages. Automate workflows using QGIS's graphical modeler and Python scripting. Develop custom QGIS plugins to extend its capabilities. Author(s) This book is written by a team of GIS experts with extensive experience in spatial data analysis and QGIS. Authors include professionals with GISP credentials who have taught GIS at various levels. With their deep understanding of QGIS and practical teaching approach, they aim to make premium GIS knowledge accessible to all. Who is it for? The book is ideal for GIS professionals seeking to enhance their QGIS expertise. Beginners looking to establish a firm foundation in GIS and QGIS will also benefit. Developers interested in extending QGIS capabilities using Python will find invaluable guidance here. Whether for career growth, project management, or academic purposes, this book suits users aspiring to excel in geospatial development.

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.