PacktPub - QGIS Blueprints

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PacktPub - QGIS Blueprints



Book Description

Publication Date: July 28, 2015



About This Book
  • Tame geographic information workflows with QGIS blueprints for smart web applications
  • Create geographic web applications using QGIS and free/open source software
  • Blueprints provide real-world applications covering many use cases


Who This Book Is For 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
  • 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
  • Build performant web applications by tile caching and generating static assets
  • Provide collaborative editing capabilities for your team or community
  • Develop custom and dynamic analysis and visualization capabilities
  • Select the best components from desktop and web, for your use case
  • Integrate it with social media and crowdsourcing


In Detail QGIS, the world’s most popular free/open source desktop geographic information system software, enables a wide variety of use cases involving location – previously only available through expensive specialized commercial software. However, designing and executing a multi-tiered project from scratch on this complex ecosystem remains a significant challenge.

This book starts with a primer on QGIS and closely related data, software, and systems. We’ll guide you through six use-case blueprints for geographic web applications. Each blueprint boils down a complex workflow into steps you can follow to reduce time lost to trial and error.

By the end of this book readers should be able to build complex layered applications that visualize multiple data sets, employing different types of visualization, and give end users the ability to interact with and manipulate this data for the purpose of analysis.





Authors Ben Mearns
Ben Mearns lives in Philadelphia, PA, where he consults, teaches, advises, speaks, and creates around geographic information. At present, he is involved in private practice; previously, he held the positions of the Lead Geospatial Information Consultant and Instructor of GIS for Natural Resource Management at the University of Delaware. Ben has held other GIS and data positions at the University of Pennsylvania, Cartographic Modeling Lab, Princeton University, and Macalester College. He has consulted in private practice on projects in many fields, including research, healthcare, education, and e-commerce.



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