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3.28
Index

Naudotojams

  • QGIS Desktop User Guide/Manual (QGIS 3.28)
  • QGIS Server Guide/Manual (QGIS 3.28)
  • Mokymo medžiaga
    • 1. Kurso įvadas
    • 2. Module: Paprasto žemėlapio sukūrimas ir eksportavimas
    • 3. Module: Classifying Vector Data
      • 3.1. Lesson: Vector Attribute Data
      • 3.2. Lesson: Labels
      • 3.3. Lesson: Klasifikacija
    • 4. Module: Laying out the Maps
    • 5. Module: Creating Vector Data
    • 6. Module: Vector Analysis
    • 7. Module: Rasters
    • 8. Module: Completing the Analysis
    • 9. Module: Plugins
    • 10. Module: Interneto resursai
    • 11. Module: QGIS Server
    • 12. Module: GRASS
    • 13. Module: Assessment
    • 14. Module: Forestry Application
    • 15. Module: Database Concepts with PostgreSQL
    • 16. Module: Erdvinės duomenų bazės sąvokos su PostGIS
    • 17. The QGIS processing guide
    • 18. Module: Using Spatial Databases in QGIS
    • 19. Appendix: Contributing To This Manual
    • 20. Preparing Exercise Data
  • Švelnus įvadas į GIS

Rašytojams

  • Dokumentavimo gairės

Vystytojams

  • PyQGIS Cookbook (QGIS 3.28)
  • Vystytojo gidas
QGIS Documentation
  • QGIS mokymo medžiaga
  • 3. Module: Classifying Vector Data
  • Žiūrėti puslapio šaltinį
Ankstesnis Kitas

3. Module: Classifying Vector Data

Classifying vector data allows you to assign different symbols to features (different objects in the same layer), depending on their attributes. This allows someone who uses the map to easily see the attributes of various features.

  • 3.1. Lesson: Vector Attribute Data
    • 3.1.1. Follow Along: Viewing Layer Attributes
    • 3.1.2. Try Yourself Exploring Vector Data Attributes
    • 3.1.3. In Conclusion
    • 3.1.4. What’s Next?
  • 3.2. Lesson: Labels
    • 3.2.1. Follow Along: Using Labels
    • 3.2.2. Follow Along: Changing Label Options
    • 3.2.3. Follow Along: Using Labels Instead of Layer Symbology
    • 3.2.4. Try Yourself Customize the Labels
    • 3.2.5. Follow Along: Labeling Lines
    • 3.2.6. Follow Along: Data Defined Settings
    • 3.2.7. Try Yourself Using Data Defined Settings
    • 3.2.8. Further Possibilities With Labeling
    • 3.2.9. In Conclusion
    • 3.2.10. What’s Next?
  • 3.3. Lesson: Klasifikacija
    • 3.3.1. Follow Along: Classifying Nominal Data
    • 3.3.2. Try Yourself More Classification
    • 3.3.3. Follow Along: Ratio Classification
    • 3.3.4. Try Yourself Refine the Classification
    • 3.3.5. Follow Along: Rule-based Classification
    • 3.3.6. In Conclusion
    • 3.3.7. What’s Next?
Ankstesnis Kitas

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