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QGIS Python Programming Cookbook, Second Edition

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

View More author details

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

Chapter 4. Using Raster Data

In this chapter, we will cover the following recipes:

Loading a raster layer
Loading a NetCDF file
Getting the cell size of a raster layer
Obtaining the width and height of a raster
Counting raster bands
Swapping raster bands
Querying the value of a raster at a specified point
Reprojecting a raster
Creating an elevation hillshade
Creating vector contours from elevation data
Sampling a raster dataset using a regular grid
Adding elevation data to a line using a digital elevation model
Creating a common extent for rasters
Resampling raster resolution
Counting the unique values in a raster
Mosaicing rasters
Converting a TIFF image to a JPEG image
Creating pyramids for a raster
Converting a pixel location to a map coordinate
Converting a map coordinate to a pixel location
Creating a KML image overlay for a raster
Classifying a raster
Converting a raster to a vector
Georeferencing a raster from ground control points
Clipping a raster using a shapefile

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Authors (1)

Joel Lawhead

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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