Best QGIS Books for Analyzing and Editing Spatial Information with Composing and Exporting Graphical Maps.

QGIS is the leading alternative to proprietary GIS software. Starting with a refresher on QGIS basics, this book will take you all the way through to creating your first custom QGIS plugin. By the end of the book, you will understand how to work with all the aspects of QGIS and will be ready to use it for any type of GIS work. If you are a GIS professional, a consultant, a student, or perhaps a fast learner who wants to go beyond the basics of QGIS, then this book is for you. It will prepare you to realize the full potential of QGIS.

What You Will Learn:

• How to meet all your GIS needs with the leading open source GIS.

• Database integration, geoprocessing tools, Python scripts, advanced cartography, and custom plugins.

• Create sophisticated analyses and maps with illustrated step-by-step examples.

• Create and manage the spatial databases.

• Advanced techniques to style GIS data.

• Prepare both vector and raster data for processing.

• How to work with the Processing Toolbox.

• Edit and repair topological data errors.

• Mastering QGIS covers automate workflows with batch processing and the QGIS Graphical Modeler.

• Integrate Python scripting into your data processing workflows.

• How to develop your own QGIS plugin.

QGIS is a user-friendly open-source geographic information system (GIS) that runs on Linux, Unix, Mac OSX, and Windows. This book takes you through every stage you need to create superb maps using QGIS 2.0 - from the installation on your favorite OS to data editing and spatial analysis right through to designing your print maps. This book is great for users, developers, and consultants who know the basic functions and processes of a GIS but want to know how to use QGIS to achieve the results they are used to a full-fledged GIS.

What You Will Learn:

• How to install QGIS.

• How to load and visualize vector and raster data.

• Create, edit and visualize spatial data and perform spatial analysis.

• How to construct great maps and print them.

• Automate geoprocessing and spatial analysis tasks.

• Create advanced cartographic output.

If you are an experienced Python developer who wants to create your own geospatial applications with minimum fuss, this is the book for you. While some familiarity with mapping applications would be an advantage, no prior knowledge of geospatial concepts is required. Even if you've never used QGIS before, this book will quickly get you up to speed.

What You Will Learn:

• How to use the Python Console to explore and control QGIS.

• Build complete standalone mapping applications based on QGIS and Python.

• Perform geospatial development tasks using the PyQGIS Python library.

• How to create useful geospatial applications implemented as QGIS Python plugins.

• Build interactive map-based GUIs within your own Python programs.

• Understand how Python scripting can be used to customize the QGIS system.

• How to utilize the true potential of Python and QGIS to create your own complete mapping applications.

The book is based on a 2-day seminar course that taught thousands of laymen to use GIS. It covers the basics of GIS, gives examples, and then guides you through a working project of mapping out an area in Texas to allow you to understand and master the basics of GIS and cartography.

What You Will Learn:

• This book teaches GIS via the open-source program of the Quantum GIS program.

• Basic background about maps.

• Find GIS data.

• Coordinate systems and projections.

• How to add data layers using Quantum GIS.

• Customizing GIS project.

This book encompasses relatively experienced GIS developers who have a strong grounding in the fundamentals of GIS development. They will have used QGIS before, but are looking to understand how to develop more complex, layered map applications that expose various data sets, utilize different visualizations, and are consumable (usable) by end-users.

What You Will Learn:

• How to review geographic information principles and the application of these principles in the QGIS free/open source ecosystem.

• Perform advanced analysis with site selection, hydrologic, and topological networks.

• How to build performant web applications by tile caching and generating static assets.

• Collaborative editing capabilities for your team or community.

• Custom and dynamic analysis and visualization capabilities.

• Select the best components from desktop and web, for your use case.

If you are a beginner or an intermediate GIS user, this book is for you. It is ideal for practitioners, data analysts, and application developers who have very little or no familiarity with geospatial data and software.

What You Will Learn:

• How to install QGIS and integrate your data into a spatial database to improve data management, speed up access, and processing.

• Design beautiful and informative print maps for a better representation of your data and analysis results.

• How to publish your maps on the Internet with the QGIS Cloud hosting.

• Use the Heatmap plugin and hexagonal grids to find hot regions by density analysis.

• How to visualize your data in 3D and check object visibility to find the most scenic views.

• Suitability analysis to find places that meet your requirements and learn how to use spatial operations.

• By reading this book, you will be productive with the Processing framework by using models and scripts to automate repetitive and complex tasks.

• Finally, you will learn how to develop your own Python plugin to extend QGIS's functionality.

This is a practical, hands-on guide that provides you with clear, step-by-step exercises to help you apply your GIS knowledge to QGIS. Through clear, practical exercises, this book will introduce you to working with QGIS quickly and painlessly.

What You Will Learn:

• Work with various data and create beautiful maps using this easy-to-follow guide.

• Install QGIS and get familiar with the user interface.

• How to load vector and raster data from files, databases, and web services.

• Create, visualize, and edit spatial data.

• How to perform geoprocessing tasks and automate them.

• Create advanced cartographic outputs.

• How to expand QGIS using Python.

• Build on geospatial data and adds more reactive maps by using geometry tools.

This book is a collection of simple to advanced techniques that are needed in everyday geospatial work and shows how to accomplish them with QGIS. You will begin by understanding the different types of data management techniques, as well as how data exploration works. By the end of this book, you will have all the necessary knowledge to handle spatial data management, exploration, and visualization tasks in QGIS.

What You Will Learn:

• Import and export common tricky spatial data formats.

• Perform classic vector and raster analysis with QGIS.

• Explore and create time-based visualizations and build interactive maps.

• 'QGIS 2 Cookbook' covers a lot of sample data sets to enable a better understanding of the code.

• Utilize spatial databases and data management tools.

• How to use and create geographic web services and maps.

• Perform network building and routing analysis.

• Extend QGIS capabilities with popular plugins and toolbox automation.

• Make beautiful and unique maps with customized cartography

With step-by-step instructions for creating the most modern print map designs seen in any instructional materials to-date, this book covers everything from basic styling and labeling to advanced techniques like illuminated contours and dynamic masking.

What You Will Learn:

• Use QGIS to take your cartographic products to the highest level.

• You will learn how QGIS is rapidly surpassing the cartographic capabilities of any other geoware available today with its data-driven overrides, flexible expression functions, multitudinous color tools, blend modes, and aliasing capabilities. 

• Step by step print map design.

• Learn label styling.

• How to styling OSM roads like google map and many more.

This book is the seventh companion volume to ‘An Introduction To Using GIS In Marine Biology’. It is designed to augment the information on using GIS in marine biology provided in that book, and, indeed, to be used alongside it rather than to be used independently as a stand-alone volume. Therefore, this book will be of most interest to those who have already read ‘An Introduction To Using GIS In Marine Biology’.

What You Will Learn:

• How to use the QGIS 2.4.0 software user interface.

• Create a map of species distribution for a publication.

• Create a presence-absence a raster data layer.

• You will able to create a species richness raster data layer from survey data.

• How to create a polygon grid data layer of abundance per unit effort from survey data.

• How to creating raster data layers of environmental variables.