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QGIS Python Programming Cookbook

You're reading from   QGIS Python Programming Cookbook Over 140 recipes to help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781783984985
Length 340 pages
Edition 1st Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (11) Chapters Close

Preface 1. Automating QGIS FREE CHAPTER 2. Querying Vector Data 3. Editing Vector Data 4. Using Raster Data 5. Creating Dynamic Maps 6. Composing Static Maps 7. Interacting with the User 8. QGIS Workflows 9. Other Tips and Tricks Index

Using the OpenStreetMap service


Cloud-based technology is moving more and more data to the Internet, and GIS is no exception. QGIS can load web-based data using Open GIS Consortium standards, such as Web Map Service (WMS). The easiest way to add WMS layers is using the Geospatial Data Abstraction Library (GDAL) and its virtual filesystem feature to load a tiled layer.

Getting ready

You don't need to do any preparation for this recipe, other than opening the Python console plugin within QGIS.

How to do it...

We will create an XML template that describes the tiled web service from OpenStreetMap we want to import. Then, we'll turn it into a GDAL virtual file and load it as a QGIS raster layer. To do this, we need to perform the following steps:

  1. First, we import the GDAL library:

    from osgeo import gdal
    
  2. Next, we'll create our XML template, describing the OpenStreetMap tiled web service:

    xml = """<GDAL_WMS>
    <Service name="TMS">
    <ServerUrl>http://tile.openstreetmap.org/${z}/${x}/${y...
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