You're reading from QGIS Python Programming Cookbook, Second Edition Automating geospatial development

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787124837

Length 464 pages

Edition 2nd Edition

Languages

Python

Tools

Eclipse

Concepts

Geospatial Analysis

Author (1):

Joel Lawhead

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Table of Contents (10) Chapters

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

Using XYZ tiled map services

A tiled map service allows you to efficiently display large raster data sets from web services. The raster dataset is broken into evenly-sized tiles at varying resolutions to create predictable naming conventions and bandwidth requirements for large datasets. QGIS now supports this standard as a part of the raster layer API. In this recipe, we'll load the Open Street Map tiled map service.

Getting ready

Open the QGIS Python console by selecting the Plugins menu and then clicking on Python Console.

How to do it...

We will quickly create a QGIS raster layer, and then we'll add it to the map:

Load the raster layer, specifying the type and the web service URL in the data source parameter. We'll also assign it the name OSM (OpenStreetMap):

        rasterLyr = QgsRasterLayer("type=xyz&url=/cats-d8c4vu/c.tile
                                    .openstreetmap.org/{z}/{x}/{y}
                                    .png", "OSM", "wms&quot...

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Authors (1)

Joel Lawhead

Joel Lawhead is a PMI-certified Project Management Professional (PMP), a certified GIS Professional (GISP), and vice president of NVision Solutions, Inc., an award-winning firm specializing in geospatial technology integration and sensor engineering for NASA, FEMA, NOAA, the US Navy, and many other commercial and non-profit organizations. Joel began using Python in 1997 and started combining it with geospatial software development in 2000. He has authored multiple editions of Learning Geospatial Analysis with Python and QGIS Python Programming Cookbook, both from Packt. He is also the developer of the open source Python Shapefile Library (PyShp) and maintains a geospatial technical blog.

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