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

Product type Paperback

Published in Apr 2016

Publisher

ISBN-13 9781783984961

Length 390 pages

Edition 1st Edition

Tools

QGIS

Concepts

Geospatial Analysis

Authors (3):

Mandel

Olaya Ferrero

Anita Graser

View More author details

Table of Contents (19) Chapters

QGIS 2 Cookbook

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Preface

1. Data Input and Output FREE CHAPTER

Introduction
Finding geospatial data on your computer
Describing data sources
Importing data from text files
Importing KML/KMZ files
Importing DXF/DWG files
Opening a NetCDF file
Saving a vector layer
Saving a raster layer
Reprojecting a layer
Batch format conversion
Batch reprojection
Loading vector layers into SpatiaLite
Loading vector layers into PostGIS

2. Data Management

Introduction
Joining layer data
Cleaning up the attribute table
Configuring relations
Joining tables in databases
Creating views in SpatiaLite
Creating views in PostGIS
Creating spatial indexes
Georeferencing rasters
Georeferencing vector layers
Creating raster overviews (pyramids)
Building virtual rasters (catalogs)

3. Common Data Preprocessing Steps

Introduction
Converting points to lines to polygons and back – QGIS
Converting points to lines to polygons and back – SpatiaLite
Converting points to lines to polygons and back – PostGIS
Cropping rasters
Clipping vectors
Extracting vectors
Converting rasters to vectors
Converting vectors to rasters
Building DateTime strings
Geotagging photos

4. Data Exploration

Introduction
Listing unique values in a column
Exploring numeric value distribution in a column
Exploring spatiotemporal vector data using Time Manager
Creating animations using Time Manager
Designing time-dependent styles
Loading BaseMaps with the QuickMapServices plugin
Loading BaseMaps with the OpenLayers plugin
Viewing geotagged photos

5. Classic Vector Analysis

Introduction
Selecting optimum sites
Dasymetric mapping
Calculating regional statistics
Estimating density heatmaps
Estimating values based on samples

6. Network Analysis

Introduction
Creating a simple routing network
Calculating the shortest paths using the Road graph plugin
Routing with one-way streets in the Road graph plugin
Calculating the shortest paths with the QGIS network analysis library
Routing point sequences
Automating multiple route computation using batch processing
Matching points to the nearest line
Creating a routing network for pgRouting
Visualizing the pgRouting results in QGIS
Using the pgRoutingLayer plugin for convenience
Getting network data from the OSM

7. Raster Analysis I

Introduction
Using the raster calculator
Preparing elevation data
Calculating a slope
Calculating a hillshade layer
Analyzing hydrology
Calculating a topographic index
Automating analysis tasks using the graphical modeler

8. Raster Analysis II

Introduction
Calculating NDVI
Handling null values
Setting extents with masks
Sampling a raster layer
Visualizing multispectral layers
Modifying and reclassifying values in raster layers
Performing supervised classification of raster layers

9. QGIS and the Web

Introduction
Using web services
Using WFS and WFS-T
Searching CSW
Using WMS and WMS Tiles
Using WCS
Using GDAL
Serving web maps with the QGIS server
Scale-dependent rendering
Hooking up web clients
Managing GeoServer from QGIS

10. Cartography Tips

Introduction
Using Rule Based Rendering
Handling transparencies
Understanding the feature and layer blending modes
Saving and loading styles
Configuring data-defined labels
Creating custom SVG graphics
Making pretty graticules in any projection
Making useful graticules in printed maps
Creating a map series using Atlas

11. Extending QGIS

Introduction
Defining custom projections
Working near the dateline
Working offline
Using the QspatiaLite plugin
Adding plugins with Python dependencies
Using the Python console
Writing Processing algorithms
Writing QGIS plugins
Using external tools

12. Up and Coming

Introduction
Preparing LiDAR data
Opening File Geodatabases with the OpenFileGDB driver
Using Geopackages
The PostGIS Topology Editor plugin
The Topology Checker plugin
GRASS Topology tools
Hunting for bugs
Reporting bugs

Index

Chapter 5. Classic Vector Analysis

In this chapter, we will cover the following recipes:

Selecting optimum sites
Dasymetric mapping
Calculating regional statistics
Estimating density using heatmaps
Estimating values based on samples

The rest of the chapter is locked

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

Table of Contents (19) Chapters

Chapter 5. Classic Vector Analysis

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Authors (3)

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