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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

Adding real-time weather data from OpenWeatherMap


Real-time data is one of the most exciting data types you can add to a modern map. Most data producers make data available through Open GIS Consortium standards. One such example is OpenWeatherMap, which offers an OGC Web Map Service (WMS) for different real-time weather data layers. In this recipe, we'll access this service to access a real-time weather data layer.

Getting ready

To prepare for this recipe, you just need to open the QGIS Python Console by clicking on the Plugins menu and selecting Python Console.

How to do it...

We will add a WMS weather data layer for precipitation to a QGIS map, as follows:

  1. First, we specify the parameters for the service:

    service = 'crs=EPSG:900913&dpiMode=7&featureCount=10&format=image/png&layers=precipitation&styles=&url=http://wms.openweathermap.org/service'
    
  2. Next, we create the raster layer, specifying wms as the type:

    rlayer = QgsRasterLayer(service, "precip", "wms")
    
  3. Finally, we add...

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