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QGIS Python Programming Cookbook, Second Edition

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

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787124837
Length 464 pages
Edition 2nd 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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Toc

Table of Contents (10) 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

Loading a NetCDF file

NetCDF stands for Network Common Data Form and is an open geospatial and scientific data format. Features of the format include machine independent data storage, the ability to store vector, raster, and statistical data, as well as multi-dimensional data, and widespread software read and write support. NetCDF is commonly used for meteorological data, which is what we'll use in this example. Loading NetCDF data in QGIS is a little different from the other types of raster data because of its multi-dimensional capability.

Getting ready

Download the sea surface temperature sample NetCDF file from the following URL:

https://github.com/GeospatialPython/Learn/raw/master/tos_O1_2001-2002.nc

Place that file in your /qgis_data/rasters directory.

How to do it...

  1. In the QGIS Python Console, create a variable for the path or URI for the NetCDF file. Note that we must specify at the beginning that this file is a NetCDF file, and at the end of the URI, we must specify which of...
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