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Mastering Geospatial Development with QGIS 3.x

By : Islam, Miles, Kurt Menke, GISP, Smith Jr., GISP, Pirelli, Van Hoesen, GISP

4 (1)

Mastering Geospatial Development with QGIS 3.x

4 (1)

By: Islam, Miles, Kurt Menke, GISP, Smith Jr., GISP, Pirelli, Van Hoesen, GISP

Overview of this book

QGIS is an open source solution to GIS and widely used by GIS professionals all over the world. It is the leading alternative to proprietary GIS software. Although QGIS is described as intuitive, it is also, by default, complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time. Starting with a refresher on the QGIS basics and getting you acquainted with the latest QGIS 3.6 updates, this book will take you all the way through to teaching you how to create a spatial database and a GeoPackage. Next, you will learn how to style raster and vector data by choosing and managing different colors. The book will then focus on processing raster and vector data. You will be then taught advanced applications, such as creating and editing vector data. Along with that, you will also learn about the newly updated Processing Toolbox, which will help you develop the advanced data visualizations. The book will then explain to you the graphic modeler, how to create QGIS plugins with PyQGIS, and how to integrate Python analysis scripts with QGIS. By the end of the book, you will understand how to work with all aspects of QGIS and will be ready to use it for any type of GIS work.

Preface

Preface

Who this book is for

What this book covers

To get the most out of this book

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Section 1: Introduction

Section 1: Introduction

A Refreshing Look at QGIS

A Refreshing Look at QGIS

Release schedules

QGIS downloading and installation

What's new?

A tour of QGIS

Working with CRS

Working with tables

Editing data

Composing maps

Adding functionality with plugins

Summary

Section 2: Getting Started

Section 2: Getting Started

Styling Raster and Vector Data

Styling Raster and Vector Data

Choosing and managing colors

Managing color ramps

Styling multiband rasters

Raster color rendering

Raster resampling

Styling vectors

Vector layer rendering

Using diagrams to display thematic data

Saving, loading, and setting default styles

Summary

Creating Spatial Databases

Creating Spatial Databases

Fundamental database concepts

Creating a spatial database

Connecting to a GeoPackage

Importing data into a GeoPackage

Working with tables

Exporting tables out of a GeoPackage

Creating queries and views

Summary

Preparing Vector Data for Processing

Preparing Vector Data for Processing

Merging vectors

Converting vector geometries

Adding geometry columns to an attribute table

Using basic vector Geoprocessing Tools

Defining coordinate reference systems

Advanced field calculations

Summary

Preparing Raster Data for Processing

Preparing Raster Data for Processing

Merging rasters

About converting raster files

Clipping a raster

Converting rasters into vectors

Converting from vector to raster (rasterize)

Reclassifying rasters

Summary

Section 3: Diving Deeper

Section 3: Diving Deeper

Advanced Data Creation and Editing

Advanced Data Creation and Editing

What's new in editing?

Creating points from coordinate data

Geocoding address-based data

Georeferencing imagery

Checking the topology of vector data

Repairing topological errors via topological editing

Repairing an overlap between polygons

Example 3 – Repairing a gap between polygons

Summary

Advanced Data Visualization

Advanced Data Visualization

Using live layer effects

Creating beautiful effects with inverted polygon shapeburst fills

Using the 2.5D renderer

Creating 3D views

Creating an Atlas

The power of geometry generators

Working with the Data Plotly plugin

Summary

Section 4: Becoming a Master

Section 4: Becoming a Master

The Processing Toolbox

The Processing Toolbox

Introducing the Processing Toolbox

What's new in the Processing Toolbox?

Configuring the Processing Toolbox

Viewing the Processing Toolbox

Using the Processing Toolbox

Performing raster analysis with GRASS

Performing analysis using SAGA

Exploring hydrologic analysis with SAGA

Summary

Automating Workflows with the Graphical Modeler

Automating Workflows with the Graphical Modeler

Introducing the graphical modeler

Working with your model

Executing model algorithms iteratively

Nesting models

Using batch processing with models

Converting a model into a Python script

Summary

Creating QGIS Plugins with PyQGIS and Problem Solving

Creating QGIS Plugins with PyQGIS and Problem Solving

Webography - where to get API information and PyQGIS help

The Python Console

My second PyQGIS code snippet - looping the layer features

Exploring iface and QGis

Exploring a QGIS API in the Python Console

Creating a plugin structure with Plugin Builder

A simple plugin example

Setting up a debugging environment

Debugging session example

Summary

PyQGIS Scripting

PyQGIS Scripting

Where to learn Python basics

How to load layers

Vector structure

Iterating over features

Editing features

Running Processing Toolbox algorithms

Interacting with the map canvas

Summary

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Section 4: Becoming a Master

This section will make you a pro in QGIS. We will be doing some amazing exercises using QGIS. We will see what a processing toolbox is and how it can open windows for even third-party algorithms and let you develop automatic graphic modelers that can enable you to create complex visualizations, such as atlases. We will also see Python with QGIS and write our first script to solve a problem.

In this section, we will cover the following chapters:

Chapter 8, The Processing Toolbox
Chapter 9, Automating Workflows with the Graphical Modeler
Chapter 10, Creating QGIS Plugins with PyQGIS and Problem Solving
Chapter 11, PyQGIS Scripting

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