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QGIS 2 Cookbook

You're reading from   QGIS 2 Cookbook Become a QGIS power user and master QGIS data management, visualization, and spatial analysis techniques

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781783984961
Length 390 pages
Edition 1st Edition
Tools
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Authors (3):
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Anita Graser Anita Graser
Author Profile Icon Anita Graser
Anita Graser
Víctor Olaya Ferrero Víctor Olaya Ferrero
Author Profile Icon Víctor Olaya Ferrero
Víctor Olaya Ferrero
Alex Mandel Alex Mandel
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Alex Mandel
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Toc

Table of Contents (14) Chapters Close

Preface 1. Data Input and Output 2. Data Management FREE CHAPTER 3. Common Data Preprocessing Steps 4. Data Exploration 5. Classic Vector Analysis 6. Network Analysis 7. Raster Analysis I 8. Raster Analysis II 9. QGIS and the Web 10. Cartography Tips 11. Extending QGIS 12. Up and Coming Index

Dasymetric mapping

Dasymetric mapping is a technique that is commonly used to improve population distribution maps. By default, population is displayed using census data, which is usually available for geographic units, such as census tracts whose boundaries don't necessarily reflect the actual distribution of the population. To be able to model population distribution better, Dasymetric mapping enables us to map population density relative to land use. For example, population counts that are organized by census tracts can be more accurately distributed by removing unpopulated areas, such as water bodies or vacant land, from the census tract areas.

In this recipe, we will use data about populated urban areas, as well as data about water bodies to refine our census tract population data.

Getting ready

To follow this exercise, please load the population data from census_wake2000_pop.shp (the file that we created in Chapter 2, Data Management), as well as the urban areas from urbanarea.shp...

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