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  • 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

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.

  • 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
Page Count 258
Course Length 7 hours 44 minutes
ISBN 9781785289071
Date Of Publication 24 Sep 2015


Ben Mearns

Ben Mearns was previously the Lead Geospatial Information Consultant at the University of Delaware, where he was the senior GIS professional charged with leading, developing, and advising on GIS solutions. He developed the GeoServer-based campus mapping system. He has held GIS and data positions at the University of Pennsylvania Cartographic Modeling Lab, Princeton University Department of Sociology, and Macalester College Department of Geography.