In this chapter, we produced a dynamic web application using a physical raster analysis example: hydrological analysis. To do this, we started by preparing the raster elevation data for the hydrological analysis and then performed the analysis. We took a look at how we could automate that workflow using the Modeler workflow automation tool. Next, we used NNJoin to create a spatial join between some hydrological outputs to produce a data source that would be suited to web interaction and querying. Finally, we published this data to an external cloud platform, CartoDB, and implemented their SQL API in a JavaScript function to find the toxic sites upstream from a location, given the Leaflet web client interaction. In the next chapter, we will produce a web application using network analysis and crowd sourced interaction.

QGIS Blueprints
By :

QGIS Blueprints
By:
Overview of this book
Table of Contents (14 chapters)
QGIS Blueprints
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Exploring Places – from Concept to Interface
Identifying the Best Places
Discovering Physical Relationships
Finding the Best Way to Get There
Demonstrating Change
Estimating Unknown Values
Mapping for Enterprises and Communities
Index
Customer Reviews