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QGIS 2 Cookbook

You're reading from   QGIS 2 Cookbook Become a QGIS power user and master QGIS data management, visualization, and spatial analysis techniques

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781783984961
Length 390 pages
Edition 1st Edition
Tools
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Authors (3):
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Anita Graser Anita Graser
Author Profile Icon Anita Graser
Anita Graser
Víctor Olaya Ferrero Víctor Olaya Ferrero
Author Profile Icon Víctor Olaya Ferrero
Víctor Olaya Ferrero
Alex Mandel Alex Mandel
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Alex Mandel
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Toc

Table of Contents (14) Chapters Close

Preface 1. Data Input and Output FREE CHAPTER 2. Data Management 3. Common Data Preprocessing Steps 4. Data Exploration 5. Classic Vector Analysis 6. Network Analysis 7. Raster Analysis I 8. Raster Analysis II 9. QGIS and the Web 10. Cartography Tips 11. Extending QGIS 12. Up and Coming Index

Joining tables in databases

If you use a database (SpatiaLite or PostGIS) to store your data, vector and nonspatial, then you also have the option of using the database and SQL to perform tables joins. The primary advantages of this method include being able to filter data before loading in the map, perform multitable joins (three or more), and have full control over the details of the join via queries.

Getting ready

You'll need at least two layers in either a SpatiaLite or PostGIS database. These two layers need at least one column in common, and the column in common should contain unique values in at least one table. In this case, our example uses the census_wake_2000 polygon layer and census_wake_2000_pop.csv.

How to do it…

  1. Open the DB Manager plugin that comes with QGIS. You can find this in the Database menu.
  2. Select your database from the tree on the left-hand side, use cookbook.db in SpatiaLite (which was created in Chapter 1, Data Input and Output).

    Tip

    If you don't see...

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