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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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Table of Contents (14) Chapters Close

Preface 1. Data Input and Output 2. Data Management FREE CHAPTER 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

What you need for this book

We recommend installing QGIS 2.8 or later; you will need at least QGIS 2.4. During the writing of this book, several new versions were released, approximately every 4 months, and most recently, 2.14 was released. Most of the recipes will work on older versions, but some may require 2.6 or newer. In general, if you can, upgrade to the latest stable release or Long Term Support (LTS) version.

There are also a lot of side interactions with other software throughout many of these recipes, including—but not limited to—Postgis 2+, GRASS 6.4+, SAGA 2.0.8+, and Spatialite 4+. On Windows, most of these can be installed using OSGeo4W; on Mac, you may need some additional frameworks from Kyngchaos, or if you're familiar with Brew, you can use the OSGeo4Mac Tap. For Linux users, in particular Ubuntu and Debian, refer to the UbuntuGIS PPA and the DebianGIS blend.

Does all of this sound a little too complicated? If yes, then consider using a virtual machine that runs OSGeo-Live (http://live.osgeo.org). All the software is preinstalled for you and is known to work together.

Lastly, you will need data. For the most part, we've provided a lot of free and open data from a variety of sources, including the OSGeo Educational dataset (North Carolina), Natural Earth Data, OpenFlights, Wake County, City of Davis, and Armed Conflict Location & Event Data Project (ACLED). A full list of our data sources is provided here if you would like additional data.

We recommend that you try methods with the sample data first, only because we tested it. Feel free to try using your own data to test many of the recipes; however, just remember that you might need to alter the structure to make it work. After all, that's what you'll be working with normally.

The following are the data sources for this book:

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