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Mastering QGIS

You're reading from   Mastering QGIS Go beyond the basics and unleash the full power of QGIS with practical, step-by-step examples

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784398682
Length 420 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (12) Chapters Close

Preface 1. A Refreshing Look at QGIS FREE CHAPTER 2. Creating Spatial Databases 3. Styling Raster and Vector Data 4. Preparing Vector Data for Processing 5. Preparing Raster Data for Processing 6. Advanced Data Creation and Editing 7. The Processing Toolbox 8. Automating Workflows with the Graphical Modeler 9. Creating QGIS Plugins with PyQGIS and Problem Solving 10. PyQGIS Scripting Index

Importing data into a SpatiaLite database

Importing data into a SpatiaLite database is easy using the DB Manager. SpatiaLite supports the following formats for importing files:

  • Shapefile (.shp)
  • Dbase (.dbf)
  • Text (.txt), Commas Separate Values (.csv), and Excel spreadsheets (.xls)
  • Well-known Text (.wkt) and Well-known Binary (.wkb)
  • PostGIS (.ewkt / .ewkb)
  • Geography Markup Language (.gml)
  • Keyhole Markup Language (.kml)
  • Geometry JavaScript Object Notation (.geojson)
  • Scalable Vector Graphics (.svg)

Let's use DB Manager to import data in a few different formats into our GiffordPinochet.sqlite database.

Importing KML into SpatiaLite

To import a KML file into a SpatiaLite database, complete the following steps:

  1. Open DB Manager by clicking on DB Manager under Database. Expand SpatiaLite and select GiffordPinochet.sqlite on the Tree panel.
  2. Navigate to Table | Import layer/file to open the Import vector layer dialog.
  3. Click on the ellipsis button at the right-hand side of the Input drop-down box and select...
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