Spatial data is everywhere, requiring professionals from various fields to capture, visualize, and analyze spatial datasets from a myriad of sources. In this fifth edition of Learn QGIS, the authors draw from their vast experience in geospatial technologies to guide you through the most essential data editing, mapping, and analysis tools available in the world’s most popular free and open-source geographic information system (GIS) software.
This updated edition incorporates the latest advancements in QGIS, comprehensively guiding you through creating, visualizing, and analyzing spatial datasets. Starting with data creation and editing, the book explores map projections, spatial data sources, and visualization techniques. You’ll develop expertise in cartographic principles, conduct spatial analysis for environmental and socioeconomic applications, and work with Earth Observation data from Copernicus and NASA.
The addition of new topics such as field data collection, data security, and ethical considerations ensures that you stay ahead of modern GIS challenges. The book also introduces AI in GIS, enabling you to leverage machine learning for geospatial tasks.
By the end of this QGIS book, you’ll have become proficient in geospatial analysis using QGIS and Python.

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Spis treści

Learn QGIS. Techniques for efficient spatial analysis - Fifth Edition eBook -- spis treści

• 1. Where Do I Start?
• 2. Data Creation and Editing
• 3. Spatial Data Sources
• 4. Understanding Coordinates and Map Projections
• 5. Visualizing Data
• 6. Creating Great Maps
• 7. Common Map Types
• 8. Spatial Analysis - Environmental Applications
• 9. Spatial Analysis - Socioeconomic Applications
• 10. Extending QGIS with Python
• 11. Earth Observation Data Analysis
• 12. Field Data Collection
• 13. Data Security and Ethical Considerations
• 14. AI in QGIS