QGIS By Example

Book Image

QGIS By Example

By : Alexander Bruy, Daria Svidzinska

Book Image

QGIS By Example

By: Alexander Bruy, Daria Svidzinska

Overview of this book

QGIS By Example

QGIS By Example

Credits

About the Authors

About the Authors

About the Reviewers

About the Reviewers

www.PacktPub.com

www.PacktPub.com

Preface

Free Chapter

Handling Your Data

Handling Your Data

Installing QGIS

GUI elements and customization

Extending functionality through plugins

Loading data into QGIS

Dealing with projections

Loading layers to a spatial database

Visualizing and Styling the Data

Visualizing and Styling the Data

Loading layers from the spatial database

Grouping and reordering layers

Developing your own styles

Managing styles

Adding base maps

Presenting Data on a Print Map

Presenting Data on a Print Map

The initial setup – page format and other essentials

Adding and customizing a map

Adding and customizing a legend

Other map items

Working with multiple maps and overviews

Managing print composers

Publishing the Map Online

Publishing the Map Online

Registering for the QGIS Cloud service

The QGIS Cloud plugin

Creating a database

Publishing the map

Viewing your map in QGIS and a browser

Deleting unused maps

Answering Questions with Density Analysis

Answering Questions with Density Analysis

Density analysis and heatmaps

Creating heat maps with the Heatmap plugin

Mapping density with a hexagonal grid

Answering Questions with Visibility Analysis

Answering Questions with Visibility Analysis

The basics of visibility analysis

Step 1 – converting a buildings' vector layer to raster

Step 2 – combining the DEM and buildings layers

Step 3 – defining observation points

Step 4 – creating viewshed coverages

Step 5 – finding scenic points

Step 6 – styling the results in 3D

Answering Questions with Suitability Analysis

Answering Questions with Suitability Analysis

Basics of suitability analysis

Step 1 – define the goal and objectives of our analysis

Step 2 – analyze the available data and define its relevance

Step 3 – define the criteria of analysis

Step 4 – Analyze and prepare the data

Step 5 – overlay the data and interpret the results

Automating Analysis with Processing Models

Automating Analysis with Processing Models

The QGIS Processing framework

Graphical Modeler

Implementing the workflow

Filling model metadata and saving

Automating Analysis with Processing Scripts

Automating Analysis with Processing Scripts

Python scripts in Processing

Defining inputs and outputs

Implementing the algorithm

Writing help and saving

Sharing scripts

Developing a Python Plugin – Select by Radius

Developing a Python Plugin – Select by Radius

Creating the plugin's skeleton

Designing the plugin's GUI

Using Designer UI files in the plugin

Implementing feature selection

Adding translations

Preparing the plugin for publishing

Index

Customer Reviews

5 star

0

4 star

0

3 star

0

2 star

0

1 star

0

Step 5 – overlay the data and interpret the results

Now we have everything ready for overlaying the rasters and generating a cumulative suitability assessment. In the following table, you can see the full list of layers, weighted by their importance for general suitability. Weights are simple coefficients within a range of 0 to 1, and they are used to modify the rank properly.

No.	Raster layer name	Raster layer type	Rank min	Rank max	Weight coefficient	Max possible value = max rank * weight
1	`athletic_facilities_proximity_ranks`	Proximity	1	5	0.04	0.2
2	`bike_routes_proximity_ranks`	Proximity	1	3	0.06	0.18
3	`hurricane_evacuation_zones`	Zoning	1	7	0.16	1.12
4	`hurricane_inundation_zones`	Zoning	1	5	0.16	0.8
5	`Museumart_ranked`	Density	1	4	0.05	0.2
6	`Noise_ranked`	Density	1	5	0.13	0.65
7	`Parks_proximity_ranks`	Proximity	1	3	0.12	0.36
8	`Schools_proximity_ranks`	Proximity	1	4	0.15	0.6
9	`subway_entrances_proximity_ranks`	Proximity	1	4	0...