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QGIS 2 Cookbook

QGIS 2 Cookbook

By : Mandel, Olaya Ferrero, Anita Graser
5 (1)
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QGIS 2 Cookbook

QGIS 2 Cookbook

5 (1)
By: Mandel, Olaya Ferrero, Anita Graser

Overview of this book

QGIS is a user-friendly, cross-platform desktop geographic information system used to make maps and analyze spatial data. QGIS allows users to understand, question, interpret, and visualize spatial data in many ways that reveal relationships, patterns, and trends in the form of maps. 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. You will then learn how to perform classic vector and raster analysis with QGIS, apart from creating time-based visualizations. Finally, you will learn how to create interactive and visually appealing maps with custom cartography. By the end of this book, you will have all the necessary knowledge to handle spatial data management, exploration, and visualization tasks in QGIS.
Table of Contents (14 chapters)
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13
Index

Selecting optimum sites


Optimum site selection is a pretty common problem, for example, when planning shop or warehouse locations or when looking for a new apartment. In this recipe, you will learn how to perform optimum site selection manually using tools from the Processing Toolbox option, but you will also see how to automate this workflow by creating a Processing model.

In the optimum site selection in this recipe, we will combine different vector analysis tools to find potential locations in Wake County that match the following criteria:

  • Locations are near a big lake (up to 500 m)

  • Locations are close to an elementary school (up to 500 m)

  • Locations are within a reasonable distance (up to 2 km) from a high school

  • Locations are at least 1 km from a main road

Getting ready

To follow this exercise, load the following datasets, lakes.shp, schools_wake.shp, and roadsmajor.shp.

As all datasets in our test data already use the same CRS, we can get right to the analysis. If you are using different data...

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