QGIS Python programming cookbook : master over 170 recipes that will help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework / Joel Lawhead.

Format:

Book

Author/Creator:

Lawhead, Joel, author.

Language:

English

Subjects (All):

Python (Computer program language).

Physical Description:

1 online resource (458 pages) : illustrations (some color)

Edition:

Second edition.

Other Title:

Quantum geographic information systems Python programming cookbook

Place of Publication:

Birmingham, England ; Mumbai, [India] : Packt, 2017.

System Details:

Mode of access: World Wide Web.

text file

Biography/History:

Lawhead Joel: 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.

Summary:

Master over 170 recipes that will help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework About This Book Delve into the undocumented features of the QGIS API Get a set of user-friendly recipes that can automate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes This book has a complete code upgrade to QGIS 2.18 and 30 new, valuable recipes Who This Book Is For This book is for geospatial analysts who want to learn more about automating everyday GIS tasks as well as programmers responsible for building GIS applications. The short, reusable recipes make concepts easy to understand and combine so you can build larger applications that are easy to maintain. What You Will Learn Use Python and QGIS to produce captivating GIS visualizations and build complex map layouts Find out how to effectively use the poorly-documented and undocumented features of the QGIS Python API Automate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes Create, import, and edit geospatial data on disk or in-memory Change QGIS settings programmatically to control default behavior Automatically generate PDF map books Build dynamic forms for field input In Detail QGIS is a desktop geographic information system that facilitates data viewing, editing, and analysis. Paired with the most efficient scripting language - Python, we can write effective scripts that extend the core functionality of QGIS. Based on version QGIS 2.18, this book will teach you how to write Python code that works with spatial data to automate geoprocessing tasks in QGIS. It will cover topics such as querying and editing vector data and using raster data. You will also learn to create, edit, and optimize a vector layer for faster queries, reproject a vector layer, reduce the number of vertices in a vector layer without losing critical data, and convert a raster to a vector. Following this, you will work through recipes that will help you compose static maps, create heavily customized maps, and add specialized labels and annotations. As well as this, we'll also share a few tips and tricks based on different aspects of QGIS. Style and approach This book follows a recipe-based problem-solution approach to address and dispel challenges faced when implementing and using QGIS on a regular basis.

Contents:

Cover

Copyright

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Table of Contents

Preface

Chapter 1: Automating QGIS

Introduction

Installing QGIS 2.18 for development

Getting ready

How to do it...

Installing PyQGIS using the Debian package manager

Installing PyQGIS using the RPM package manager

Setting the environment variables

Setting the environment variables on Windows

Setting environment variables on Linux

How it works...

There's more...

Finding the PyQGIS path on Windows

Finding the location of the QGIS Python installation on other platforms

Using the QGIS Python console for interactive control

Automatically starting the Python console

Using the Python's Script Runner plugin

Setting up your QGIS IDE

Adding the Python interpreter to Windows

Adding the PyQGIS module paths to the interpreter

Adding the PyQGIS API to the IDE

Adding environment variables

Debugging QGIS Python scripts

Configuring QGIS

Configuring Eclipse

Testing the debugger

Navigating the PyQGIS API

Creating a traditional QGIS plugin

Creating a Processing Toolbox plugin

Distributing a plugin

Building a standalone application

There's more.

Storing and reading global preferences

Storing and reading project preferences

Accessing the script path from within your script

Chapter 2: Querying Vector Data

Loading a vector layer from a file sample

Loading a vector layer from a geodatabase

Examining vector layer features

Examining vector layer attributes

Filtering a layer by geometry

Filtering a layer by attributes

Buffering a feature

Measuring the distance between two points

Measuring distance along a line

Calculating the area of a polygon

Creating a spatial index

Calculating the bearing of a line

Loading data from a spreadsheet

Accessing layer metadata

Chapter 3: Editing Vector Data

Creating a vector layer in memory

How it works.

Adding a point feature to a vector layer

Adding a line feature to a vector layer

Adding a polygon feature to a vector layer

Adding a set of attributes to a vector layer

Getting ready...

Adding a field to a vector layer

Joining a shapefile attribute table to a CSV file

Changing vector layer geometry

Changing a vector layer feature's attribute

Removing data from a vector layer

How to do it....

Deleting a vector layer feature's attribute

Reprojecting a vector layer

Converting a shapefile to KML or GeoJSON

Merging shapefiles

Splitting a shapefile

Generalizing a vector layer

Dissolving vector features

Performing a union on vector shapes

Rasterizing a vector layer

Exporting a layer to the GeoPackage format

Chapter 4: Using Raster Data

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 vertices 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.

Getting ready

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 control points

Clipping a raster using a shapefile

Chapter 5: Creating Dynamic Maps

Accessing the map canvas

Changing the map units

Iterating over layers

Symbolizing a vector layer

Setting a transparent layer fill

Using a filled marker symbol

Rendering a single band raster using a color ramp algorithm

Setting a feature's color using a column in a CSV file

Creating a complex vector layer symbol

Using icons as vector layer symbols

Using an outline for font markers

Using arrow symbols

Creating a graduated vector layer symbol renderer

Creating a categorized vector layer symbol.

Notes:

Includes index.

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed March 27, 2017).

ISBN:

9781787121102

1787121100

OCLC:

983204812