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Mon Oct 20 04:35:09 2014

A Django site.

QGIS Planet

PyQGIS Resources

Here is a short list of resources available when writing Python code in QGIS. If you know of others, please leave a comment.

Blogs/Websites

In alphabetical order:

Documentation

Example Code

  • Existing plugins can be a great learning tool
  • Code Snippets in the PyQGIS Cookbook

Plugins/Tools

  • Script Runner: Run scripts to automate QGIS tasks
  • Plugin Builder: Create a starter plugin that you can customize to complete your own plugin
  • pb_tool: Tool to compile and deploy your plugins

Books

A Quick Guide to Getting Started with PyQGIS on Windows

Getting started with Python and QGIS can be a bit overwhelming. In this post we give you a quick start to get you up and running and maybe make your PyQGIS life a little easier.

There are likely many ways to setup a working PyQGIS development environment—this one works pretty well.

Contents

Requirements

  • OSGeo4W Advanced Install of QGIS
  • pip (for installing/managing Python packages)
  • pb_tool (cross-platform tool for compiling/deploying/distributing QGIS plugin)
  • A customized startup script to set the environment (pyqgis.cmd)
  • IDE (optional)
  • Vim (just kidding)

We’ll start with the installs.

Installing

Almost everything we need can be installed using the OSGeo4W installer available on the QGIS website.

OSGeo4W

From the QGIS website, download the appropriate network installer (32 or 64 bit)

  • Run the installer and choose the Advanced Install option
  • Install from Internet
  • Choose a directory for the install—I prefer a path without spaces such as C:\OSGeo4W
  • Accept default for local package directory and Start menu name
  • Tweak network connection option if needed on the Select Your Internet Connection screen
  • Accept default download site location
  • From the Select packages screen, select the following for installation:
    • Desktop -> qgis: QGIS Desktop
    • Libs -> qt4-devel (needed for lrelease/translations)
    • Libs -> setuptools (needed for installing pip)

When you click Next a bunch of additional packages will be suggested—just accept them and continue the install.

Once complete you will have a functioning QGIS install along with the other parts we need. If you want to work with the nightly build of QGIS, choose Desktop -> qgis-dev instead.

If you’ve already installed QGIS using the OSGeo4W installer, just install the qt4-devel and setutools packages. If you installed QGIS using the standalone installer, the easiest option is to remove it and install from OSGeo4W. You can run both the standalone and OSGeo4W versions on the same machine, but you need to be extra careful not to mix up the environment.

Setting the Environment

To continue with the setup, we need to set the environment by creating a .cmd script. The following is adapted from several sources, and trimmed down to the minimum. Copy and paste it into a file named pyqgis.cmd and save it to a convenient location (like your HOME directory).

@echo off
SET OSGEO4W_ROOT=C:\OSGeo4W
call "%OSGEO4W_ROOT%"\bin\o4w_env.bat
call "%OSGEO4W_ROOT%"\apps\grass\grass-6.4.3\etc\env.bat
@echo off
path %PATH%;%OSGEO4W_ROOT%\apps\qgis\bin
path %PATH%;%OSGEO4W_ROOT%\apps\grass\grass-6.4.3\lib

set PYTHONPATH=%PYTHONPATH%;%OSGEO4W_ROOT%\apps\qgis\python;
set PYTHONPATH=%PYTHONPATH%;%OSGEO4W_ROOT%\apps\Python27\Lib\site-packages
set QGIS_PREFIX_PATH=%OSGEO4W_ROOT%\apps\qgis
set PATH=C:\Program Files (x86)\Git\cmd;C:\Program Files (x86)\Vim\vim74;%PATH%
cd %HOMEPATH%\development
cmd.exe

You should customize the set PATH statement to add any paths you want available when working from the command line. I added paths to my git and vim installs.

The cd %HOMEPATH%\development statement starts the shell in my normal working directory—customize or remove as you see fit.

The last line starts a cmd shell with the settings specified above it. We’ll see an example of starting an IDE in a bit.

You can test to make sure all is well by double-clicking on our pyqgis.cmd script, then starting Python and attempting to import one of the QGIS modules:

C:\Users\gsherman\development>python
Python 2.7.5 (default, May 15 2013, 22:44:16) [MSC v.1500 64 bit (AMD64)] on win
32
Type "help", "copyright", "credits" or "license" for more information.
>>> import qgis.core
>>>

If you don’t get any complaints on import, things are looking good.

Python Packages

We need a couple of Python packages as well.

pip

There are several ways to install pip, but since we installed setuptools we can use easy_install:

easy_install pip

Make sure to issue this command from your customized shell (double-click on pyqgis.cmd to start it).

pb_tool

With pip installed we can use it to install pb_tool:

pip install pb_tool

More information on using pb_tool is available on the project website.

Working on the Command Line

Just double-click on your pyqgis.cmd script from the Explorer or a desktop shortcut to start a cmd shell. From here you can use Python interactively and also use pb_tool to compile and deploy your plugin for testing.

IDE Example

With slight modification, we can start our IDE with the proper settings to recognize the QGIS libraries:

@echo off
SET OSGEO4W_ROOT=C:\OSGeo4W
call "%OSGEO4W_ROOT%"\bin\o4w_env.bat
call "%OSGEO4W_ROOT%"\apps\grass\grass-6.4.3\etc\env.bat
@echo off
path %PATH%;%OSGEO4W_ROOT%\apps\qgis\bin
path %PATH%;%OSGEO4W_ROOT%\apps\grass\grass-6.4.3\lib

set PYTHONPATH=%PYTHONPATH%;%OSGEO4W_ROOT%\apps\qgis\python;
set PYTHONPATH=%PYTHONPATH%;%OSGEO4W_ROOT%\apps\Python27\Lib\site-packages
set QGIS_PREFIX_PATH=%OSGEO4W_ROOT%\apps\qgis
set PATH=C:\Program Files (x86)\Git\cmd;C:\Program Files (x86)\Vim\vim74;%PATH%
cd %HOMEPATH%\development
start "PyCharm aware of Quantum GIS" /B "C:\Program Files (x86)\JetBrains\PyCharm 3.4.1\bin\pycharm.exe" %*

We only changed the last line, adding the start statement with the path to the IDE (PyCharm). If you save this to something like pycharm.cmd, you can double-click on it to start PyCharm. The same method works for other IDEs, such as PyDev.

Within your IDE settings, point it to use the Python interpreter included with OSGeo4W—typically at: %OSGEO4W_ROOT%\bin\python.exe. This will make it pick up all the QGIS goodies needed for development, completion, and debugging. In my case OSGEO4W_ROOT is C:\OSGeo4W, so in the IDE, the path to the correct Python interpreter would be: C:\OSGeo4W\bin\python.exe.

Make sure you adjust the paths in your .cmd scripts to match your system and software locations.

Workflow

Here is an example of a workflow you can use once you’re setup for development.

Creating a New Plugin

  1. Use the Plugin Builder plugin to create a starting point [1]
  2. Start your pyqgis.cmd shell
  3. Use pb_tool to compile and deploy the plugin (pb_tool deploy will do it all in one pass)
  4. Activate it in QGIS and test it out
  5. Add code, deploy, test, repeat

Working with Existing Plugin Code

The steps are basically the same was creating a new plugin, except we start by using pb_tool to create a new config file:

  1. Start your pyqgis.cmd shell
  2. Change to the directory containing your plugin code
  3. Use pb_tool create to create a config file
  4. Edit pb_tool.cfg to adjust/add things create may have missed
  5. Start at step 3 in Creating a New Plugin and press on

Troubleshooting

Assuming you have things properly installed, trouble usually stems from an incorrect environment.

  • Make sure QGIS runs and the Python console is available and working
  • Check all the paths in your pygis.cmd or your custom IDE cmd script
  • Make sure your IDE is using the Python interpreter that comes with OSGeo4W

[1] Plugin Builder 2.6 will support generation of a pb_tool config file

QGIS Development with Plugin Builder and pb_tool

The Plugin Builder is a great tool for generating a working plugin project that you can customize.

One of the main tasks in the development cycle is deploying the plugin to the QGIS plugin directory for testing. Plugin Builder comes with a Makefile that can be used on Linux and OS X to aid in development. Depending on your configuration, the Makefile may work on Windows.

To help in managing development of your projects, we’ve come up with another option—a Python tool called pb_tool, which works anywhere QGIS runs.

Here’s what it provides:

Usage: pb_tool [OPTIONS] COMMAND [ARGS]...

  Simple Python tool to compile and deploy a QGIS plugin. For help on a
  command use --help after the command: pb_tool deploy --help.

  pb_tool requires a configuration file (default: pb_tool.cfg) that declares
  the files and resources used in your plugin. Plugin Builder 2.6.0 creates
  a config file when you generate a new plugin template.

  See http://g-sherman.github.io/plugin_build_tool for for an example config
  file. You can also use the create command to generate a best-guess config
  file for an existing project, then tweak as needed.

Options:
  --help  Show this message and exit.

Commands:
  clean       Remove compiled resource and ui files
  clean_docs  Remove the built HTML help files from the...
  compile     Compile the resource and ui files
  create      Create a config file based on source files in...
  dclean      Remove the deployed plugin from the...
  deploy      Deploy the plugin to QGIS plugin directory...
  doc         Build HTML version of the help files using...
  list        List the contents of the configuration file
  translate   Build translations using lrelease.
  validate    Check the pb_tool.cfg file for mandatory...
  version     Return the version of pb_tool and exit
  zip         Package the plugin into a zip file suitable...

In the command summary, a description ending in … means there is more to see using the help switch:

1
2
3
4
5
6
7
8
9
pb_tool zip --help
Usage: pb_tool zip [OPTIONS]

  Package the plugin into a zip file suitable for uploading to the QGIS
  plugin repository

Options:
  --config TEXT  Name of the config file to use if other than pb_tool.cfg
  --help         Show this message and exit.

The Configuration File

pb_tool relies on a configuration file to do its work. Here’s a sample pb_tool.cfg file:

# Configuration file for plugin builder tool
# Sane defaults for your plugin generated by the Plugin Builder are
# already set below.
#
[plugin]
# Name of the plugin. This is the name of the directory that will
# be created in .qgis2/python/plugins
name: TestPlugin

[files]
# Python  files that should be deployed with the plugin
python_files: __init__.py test_plugin.py test_plugin_dialog.py

# The main dialog file that is loaded (not compiled)
main_dialog: test_plugin_dialog_base.ui

# Other ui files for dialogs you create (these will be compiled)
compiled_ui_files: foo.ui

# Resource file(s) that will be compiled
resource_files: resources.qrc

# Other files required for the plugin
extras: icon.png metadata.txt

# Other directories to be deployed with the plugin.
# These must be subdirectories under the plugin directory
extra_dirs:

# ISO code(s) for any locales (translations), separated by spaces.
# Corresponding .ts files must exist in the i18n directory
locales: af

[help]
# the built help directory that should be deployed with the plugin
dir: help/build/html
# the name of the directory to target in the deployed plugin
target: help

The configuration file is pretty much self-explanatory and represents that generated by Plugin Builder 2.6 for a new plugin. As you develop your code, you simply add the file names to the appropriate sections.

Plugin Builder 2.6 will be available the week of the QGIS 2.6 release. In the meantime, you can use pb_tool create to create a config file. See the pb_tool website for more information.

Deploying

Here’s what a deployment looks like with pb_tool:

$ pb_tool deploy
Deploying will:
            * Remove your currently deployed version
            * Compile the ui and resource files
            * Build the help docs
            * Copy everything to your .qgis2/python/plugins directory

Proceed? [y/N]: y
Removing plugin from /Users/gsherman/.qgis2/python/plugins/TestPlugin
Deploying to /Users/gsherman/.qgis2/python/plugins/TestPlugin
Compiling to make sure install is clean
Skipping foo.ui (unchanged)
Compiled 0 UI files
Skipping resources.qrc (unchanged)
Compiled 0 resource files
Building the help documentation
sphinx-build -b html -d build/doctrees   source build/html
Running Sphinx v1.2b1
loading pickled environment... done
building [html]: targets for 0 source files that are out of date
updating environment: 0 added, 0 changed, 0 removed
looking for now-outdated files... none found
no targets are out of date.

Build finished. The HTML pages are in build/html.
Copying __init__.py
Copying test_plugin.py
Copying test_plugin_dialog.py
Copying test_plugin_dialog_base.ui
Copying foo.py
Copying resources_rc.py
Copying icon.png
Copying metadata.txt
Copying help/build/html to /Users/gsherman/.qgis2/python/plugins/TestPlugin/help

Getting Started

For details on installing and using pb_tool, see: http://g-sherman.github.io/plugin_build_tool

QGIS talks at FOSS4G 2014

Did you miss FOSS4G 2014? Don’t despair: the talks have been recorded and are available on Vimeo. I suggest to start with the following video of Pirmin’s talk wrapping up the developments since last year:

From Nottingham to PDX: QGIS 2014 roundup — Pirmin Kalberer, Sourcepole AG from FOSS4G on Vimeo.

Other talks include:

For the full list see https://vimeo.com/search/sort:plays/format:detail?q=qgis+foss4g

And of course – last but not least – watch Gary Sherman’s Sol Katz Award acceptance speech if you haven’t seen it yet. Congratulations Gary!

Gary Sherman’s Sol Katz Award acceptance from Gateway Geomatics on Vimeo.


Creating custom colour schemes in PyQGIS

In my last post I explored some of the new colour related features available in QGIS 2.6. At the end of that post I hinted at the possibility of creating QGIS colour schemes using python. Let’s take a look…

We’ll start with something nice and easy – a colour scheme which contains a predefined set of colours (e.g., standard company colours). This is done by subclassing QgsColorScheme and implementing the required methods ‘schemeName‘, ‘fetchColors‘ and ‘clone‘. It’s all fairly self explanatory – most of the important stuff happens in fetchColors, which returns a list of QColor/string pairs. Here’s a sample:

from PyQt4.QtCore import *
from PyQt4.QtGui import *

class QgsCgaLightColorScheme(QgsColorScheme):
    def __init__(self, parent=None): 
        QgsColorScheme.__init__(self)
 
    def schemeName(self):
        return "CGA Colors!"
 
    def fetchColors(self,context='', basecolor=QColor()):
        return [[QColor('#555555'),'Gray'],
                    [QColor('#5555FF'),'Light Blue'],
                    [QColor('#55FF55'),'Light Green'],
                    [QColor('#55FFFF'),'Light Cyan'],
                    [QColor('#FF5555'),'Light Red'],
                    [QColor('#FF55FF'),'Light Magenta'],
                    [QColor('#FFFF55'),'Yellow'],
                    [QColor('#FFFFFF'),'White']]
    def flags(self):
        return QgsColorScheme.ShowInAllContexts
 
    def clone(self):
        return QgsCgaLightColorScheme()

cgaScheme = QgsCgaLightColorScheme()
QgsColorSchemeRegistry.instance().addColorScheme(cgaScheme)

This scheme will now appear in all colour buttons and colour picker dialogs:

CGA colours… what your map was missing!

If you only wanted the scheme to appear in the colour picker dialog, you’d modify the flags method to return QgsColorScheme.ShowInColorDialog instead.

QgsColorSchemes can also utilise a “base colour” when generating their colour list. Here’s a sample colour scheme which generates slightly randomised variations on the base colour. The magic again happens in the fetchColors method, which copies the hue of the base colour and generates random saturation and value components for the returned colours.

from PyQt4.QtCore import *
from PyQt4.QtGui import *
import random

class QgsRandomColorScheme(QgsColorScheme):
    def __init__(self, parent=None): 
        QgsColorScheme.__init__(self)

    def schemeName(self):
        return "Random colors!"

    def fetchColors(self, context='', basecolor=QColor() ):
        noColors = random.randrange(30)
        minVal = 130;
        maxVal = 255;
        colorList = []
        for i in range(noColors):
            if basecolor.isValid():
                h = basecolor.hue()
            else:
                #generate random hue
                h = random.randrange(360);

            s = random.randrange(100,255)
            v = random.randrange(100,255)

            colorList.append( [ QColor.fromHsv( h, s, v), "random color! " + str(i) ] )

        return colorList

    def flags(self):
        return QgsColorScheme.ShowInAllContexts

    def clone(self):
        return QgsRandomColorScheme()

randomScheme = QgsRandomColorScheme()
QgsColorSchemeRegistry.instance().addColorScheme(randomScheme)

Here’s the random colour scheme in action… note how the colours are all based loosely around the current red base colour.

Randomised colours

You may also have noticed the context argument for fetchColors. This can be used to tweak the returned colour list depending on the context of the colour picker. Possible values include ‘composer‘, ‘symbology‘, ‘gui‘ or ‘labelling‘.

One final fun example… here’s a colour scheme which grabs its colours using the Colour Lovers API to fetch a random popular palette from the site:

from PyQt4.QtCore import *
from PyQt4.QtGui import *
from xml.etree import ElementTree
import urllib2
import random

class colorLoversScheme(QgsColorScheme):

    def __init__(self, parent=None): 
        QgsColorScheme.__init__(self)
        xmlurl = 'http://www.colourlovers.com/api/palettes/top'

        headers = { 'User-Agent' : 'Mozilla/5.0' }
        req = urllib2.Request(xmlurl, None, headers)
        doc = ElementTree.parse(urllib2.urlopen(req)).getroot()

        palettes = doc.findall('palette')
        palette = random.choice(palettes)

        title = palette.find('title').text
        username = palette.find('userName').text
        attrString = title + ' by ' + username
        colors = ['#'+c.text for c in palette.find('colors').findall('hex')]

        self.color_list = [[QColor(c), attrString] for c in colors]

    def schemeName(self):
        return "Color lovers popular palette"

    def fetchColors(self, context='', basecolor=QColor()):
        return self.color_list

    def flags(self):
        return QgsColorScheme.ShowInAllContexts

    def clone(self):
        return colorLoversScheme()

loversScheme = colorLoversScheme()      
QgsColorSchemeRegistry.instance().addColorScheme( loversScheme )

Clicking a colour button will now give us some daily colour scheme inspiration…

Grabbing a palette from the Colours Lovers site

Grabbing a palette from the Colours Lovers site

Ok, now it’s over to all you PyQGIS plugin developers – time to go wild!

What’s new in QGIS 2.6 – Tons of colour improvements!

With one month left before the release of QGIS 2.6, it’s time to dive into some of the new features it will bring… starting with colours.

Working with colours is a huge part of cartography. In QGIS 2.4 I made a few changes to improve interaction with colours. These included the ability to copy and paste colours by right clicking on a colour button, and dragging-and-dropping colours between buttons. However, this was just the beginning of the awesomeness awaiting colours in QGIS 2.6… so let’s dive in!

Part 1 – New colour picker dialog

While sometimes it’s best to stick with an operating system’s native dialog boxes, colour pickers are one exception to this. That’s because most native colours pickers are woefully inadequate, and are missing a bunch of features which make working with colours much easier. So, in QGIS 2.6, we’ve taken the step of rolling out our very own colour picker:

New QGIS colour picker

Before starting work on this, I conducted a review of a number of existing colour picker implementations to find out what works and what doesn’t. Then, I shamelessly modelled this new dialog off the best bits of all of these! (GIMP users will find the new dialog especially familiar – that’s no coincidence, it’s a testament to how well crafted GIMP’s colour picker is.)

The new QGIS colour picker features:

  • Colour sliders and spin boxes for Hue, Saturation, Value, Red, Green and Blue colour components
  • An opacity slider (no more guessing what level of transparency “189” corresponds to!)
  • A text entry box which accepts hex colours, colour names and CSS rgb(#,#,#) type colours. (The drop down arrow you can see on this box in the screenshot above allows you to specify the display format for colours, with options like #RRGGBB and #RRGGBBAA)
  • A grid of colour swatches for storing custom colours
  • A visual preview of the new colour compared to the previous colour
  • Support for dragging and dropping colours into and out of the dialog
  • A colour wheel and triangle method for tweaking colours (by the way, all these colour widgets are reusable, so you can easily dump them into your PyQGIS plugins)
    Colour wheel widget
  • A colour palettes tab. This tab supports adding and removing colours from a palette, creating new palettes and importing and exporting colours from a GPL palette file. (We’ll explore colour palettes in more detail later in this post.)
    Colour palettes
  • A colour sampler! This tab allows you to sample a colour from under the mouse pointer. Just click the “Sample color” button, and then click anywhere on the screen (or press the space bar if you’re sampling outside of the QGIS window). You even get the choice of averaging the colour sample over a range of pixels. (Note that support for sampling is operating system dependant, and currently it is not available under OSX.)
    Built in colour sampler! Woohoo!

Part 2 – New colour button menus

Just like the new colour dialog is heavily based off other colour dialog implementations, this new feature is inspired by Microsoft’s excellent colour buttons in their recent Office versions (I make no claim to originality here!). Now, all QGIS colour buttons come with a handy drop down menu which allows you to quickly choose from some frequently used colour shortcuts. You’ve got the previously available options of copying and pasting colours from 2.4, plus handy swatches for recently used colours and for other standard colours.

colour_menu

Handy colour menu for buttons

Part 3 – Colour palettes

You may have noticed in the above screenshot the “Standard colors” swatches, and wondered what these were all about.  Well, QGIS 2.6 has extensive support for color palettes. There’s a few different “built-in” color palettes:

  • The “Standard colors” palette. This palette can be modified through the Options → Colors tab. You can add, remove, edit, and rename colours, as well as import color schemes from a GPL palette file. These standard colours apply to your QGIS installation, so they’ll be available regardless of what project you’re currently working on.

    Customising the standard colours

    Customising the standard QGIS colours

  • The “Project colors” palette. This can be accessed via the Project Properties → Default styles tab. This palette is saved inside the .qgs project file, so it’s handy for setting up a project-specific colour scheme.
  • The “Recent colors” palette. This simply shows colours you’ve recently used within QGIS.

You can easily create new colour palettes directly from the colour picker dialog. Behind the scenes, these palettes are saved into your .qgis/palettes folder as standard GPL palette files, which makes it nice and easy to modify them in other apps or transfer them between installations. It’s also possible to just dump a stack of quality palettes directly into this folder and they’ll be available from within QGIS.

Perhaps the best bit about colour schemes in QGIS is that they can be created using PyQGIS plugins, which opens up tons of creative possibilities… More on this in a future blog post!

So there we go. Tons of improvements for working with colours are heading your way in QGIS 2.6, which is due out on the 24th October.

(Before we end, let’s take a quick look at what the competition offers over in MapInfo land. Yeah… no thanks. You might want to invest some development time there Pitney Bowes!)

QGIS training (3 days) and Birdwatching/Field data collection (2 days) in South Portugal, January 2015

Faunalia and Imagine-Science are pleased to announce a QGIS training (3 days) course during a week that will include 2 days of field activities related to birdwatching and field data collection. Where: Portugal/Algarve, specifically “Ria de Alvor -Mexilhoeira Grande” near Portimão. When: 26 to 30 January 2015.   For more informations about QGIS training program, […]

QGIS atlas on non geometry tables

This is proof that no matter how close you are to a project you can still miss some really cool stuff that you never knew or considered was possible.

The problem to solve:

You have a CSV with a row of colours. Each row should be a new map and each column is the colour for that feature.

This is example of that kind of input

A       B
#93b2f3 #FF0000 
#dfbdbb #FF0000
#f9d230 #FF0000

This questhion was asked on GIS.SE this morning. When I first saw it I had no idea it was even possible, I was thinking along the same lines as the person asking, that it would have to be done with Python. Not hard, but a lot harder then something built in and I put it in the too hard basket. I thought the atlas can almost do that, almost but not really.

Well almost was wrong. It can.

Note: You will need QGIS 2.5 (2.6 when released) for this to work

Lets make some cool maps! (and go to GIS.SE and upvote Nyalls answer)

First open your vector layer and the CSV. Don't worry about style just yet, we will do it later.

Create a composer and add your map.

Here comes the first part of the trick.

Enable Atlas and set the coverage layer to the CSV layer. Wait? What? That doesn't make any sense. If you think about it for a while it does. We need a map for each row (or "feature") in the CSV and atlas does just that.

atlas_colours.png

How do we style the features? Well here is the other part of the trick. In 2.6 there is a magic expression function that returns a field value from another feature. And it's as simple as attribute( $atlasfeature , 'A' ) - give me the attribute from the current atlas feature for field 'A'. Simple.

First we categorize our features so we have a symbol for each feature. I'm using a sample layer I have but you can understand how this works. The first feature is A and the other is B, etc, etc

render.png

Now to use another awesome feature of QGIS. The data defined symbol properties (and labels too). Change each symbol and define the colour data defined property. Using attribute( $atlasfeature , 'A' ) for the first one and attribute( $atlasfeature , 'B' ) for the second.

atlas_feature.png

That is it. Now jump back over to your composer and enable Atlas preview.

atlas1.png

atlas2.png

Bam! Magic! How awesome is that!

Now my other thought was. "Ok cool, but the legend won't update". I should learn by now not to assume anything. The legend will also update based on the colours from the feature.

atlas1_legend.png

atlas2_legend.png

How far can we take this. What if you need the label to match the colour. Simple just make the label text look like this:

<h1 style='color:[% "A" %]'>This is the colour of A</h1>

atlas1_label.png

Heaps of credit to Nyall and the others who have added all this great stuff to the composer, atlas, and the data defined properties. It's not something that you will do every day but it's great to see the flexibility of QGIS in these situations.

You can even make the background colour of the page match the atlas feature

atlas1_back.png

but don't do that because people might think you are mad ;)

Labels as text in SVG exports

Today’s post is inspired by a recent thread on the QGIS user mailing list titled “exporting text to Illustrator?”. The issue was that with the introduction of the new labeling system, all labels were exported as paths when creating an SVG. Unnoticed by almost everyone (and huge thanks to Alex Mandel for pointing out!) an option has been added to 2.4 by Larry Shaffer which allows exporting labels as texts again.

To export labels as text, open the Automatic Placement Settings (button in the upper right corner of the label dialog) and uncheck the Draw text as outlines option.

Screenshot 2014-09-20 21.03.26

Note that we are also cautioned that

For now the developers recommend you only toggle this option right
before exporting
and that you recheck it after.

Alex even recorded a video showcasing the functionality:


Registration is open

Registration is open now for the Scottish QGIS user group.  You can register here:

https://www.eventbrite.co.uk/e/qgis-uk-scottish-user-group-tickets-13092023595

The planned agenda for the day is as follows:

  • arrive for coffee 9.00
  • welcome and intro 9.30
  • workshops 10.00 – 12.00
  • lightning talks 12.00 – 12.30
  • lunch 12.30 – 13.30
  • afternoon presentations 13.30 – 16.00
  • close
  • geobeers

There is a great line up of talks and after feedback from the last user group there are now two workshops in the morning for you to choose from.

  • Workshop 1: QGIS plugin development with Python
  • Workshop 2: Using the QGIS Processing module
  • Michael Spencer – Raster time series analysis using FOSS4G
  • Heikki Versanto – Visualising population demographics in 3D
  • Simon Willcocks – Using PgRouting with OS ITN in QGIS
  • Ross McDonald – Cartographic experiments in QGIS
  • Mag Low – Rendering OS MasterMap buildings using QGIS2threeJS
  • Paul Weedon – PostGIS, QGIS and Associated Street Data
  • Lightning talks – a few minutes to tell us about, well, anything really.

Thanks to EDINA, thinkWhere and Ordnance Survey for helping to make the day happen!


Exporting QGIS symbols as images

Ever wanted to export your QGIS symbols as images? Yes. Well here is some Python code that will let you do just that:

from PyQt4.QtCore import QSize
from PyQt4.QtGui import QImage, QPainter

style = QgsStyleV2.defaultStyle()
names = style.symbolNames()
size = QSize(64, 64)

for name in names:
    symbol = style.symbol(name)
    if not symbol.type() == QgsSymbolV2.Marker:
        continue
    
    image = QImage(size, QImage.Format_ARGB32_Premultiplied)
    image.fill(0) 
    painter = QPainter(image)
    symbol.drawPreviewIcon(painter, size)
    painter.end()
    image.save(r"C:\temp\{}.png".format(name), "PNG")

Or in 2.6 it's even easier:

from PyQt4.QtCore import QSize
from PyQt4.QtGui import QImage, QPainter

style = QgsStyleV2.defaultStyle()
names = style.symbolNames()
size = QSize(64, 64)

for name in names:
    symbol = style.symbol(name)
    if not symbol.type() == QgsSymbolV2.Marker:
        continue
        
    image = symbol.asImage(size)
    image.save(r"C:\temp\{}.png".format(name), "PNG")

Bam!

symbols.png

Why? Because we can.

QGIS OpenLayers alternative: ArcGIS online basemap

The QGIS Ireland user group posted a method of adding the ArcGIS Online global raster basemap to QGIS to use as an alternative to the openLayers plugin:

http://ieqgis.wordpress.com/2014/08/09/adding-esris-online-world-imagery-dataset-to-qgis/


Gary Sherman wins the Sol Katz award

This year Gary Sherman won the annual Sol Katz award. To quote the OSGEO page about the award:

The Sol Katz Award for Geospatial Free and Open Source Software (GFOSS) is awarded annually by OSGeo to individuals who have demonstrated leadership in the GFOSS community. Recipients of the award will have contributed significantly through their activities to advance open source ideals in the geospatial realm. The hope is that the award will both acknowledge the work of community members, and pay tribute to one of its founders, for years to come.

A couple of years ago I did an interview with Gary about the beginning of QGIS:

and part2:

I am so pleased that the Sol Katz award committee has seen fit to present this award to Gary. The fact that Gary created QGIS and open sourced its code has had a profound effect on many people’s lives – especially my own. Participating in QGIS for the last decade+ has immeasurably improved my own life and enabled me to eke out a comfortable living doing something I love. Hardly a day goes without me receiving an email in my inbox from someone in a far flung place telling me how they are using QGIS and how it is making their world a better place.

Presenting this award to Gary is a long overdue recognition and ‘thank you’ to the person who started a project that has become the rally point for an incredible, diverse and  friendly bunch of people, and a daily use tool for hundreds of thousands of users how there who may not even know who Gary is. QGIS rocks Gary, and so do you!

Here is Gary’s acceptance speech:

 

 

Slides FOSS4G 2014

Slides from our presentations at FOSS4G 2014 in Portland/Oregon:

@PirminKalberer

Selective data removal in an elevation map by means of floodfilling

Do you also sometimes get maps which contain zero (0) rather than NULL (no data) in some parts of the map? This can be easily solved with “floodfilling”, even in a GIS.

My original map looks like this (here, Trentino elevation model):

The light blue parts should be no data (NULL) rather than zero (0)...

Now what? In a paint software we would simply use bucket fill but what about GIS data? Well, we can do something similar using “clumping”. It requires a bit of computational time but works perfectly, even for large DEMs, e.g., all Italy at 20m resolution. Using the open source software GRASS GIS 7, we can compute all “clumps” (that are many for a floating point DEM!):

# first we set the computational region to the raster map:
g.region rast=pat_DTM_2008_derived_2m -p
r.clump pat_DTM_2008_derived_2m out=pat_DTM_2008_derived_2m_clump

The resulting clump map produced by r.clump is nicely colorized:

Clumped map derived from DEM (generated with r.clump)

As we can see, the area of interest (province) is now surrounded by three clumps. With a simple map algebra statement (r.mapcalc or GUI calculator) we can create a MASK by assigning these outer boundary clumps to NULL and the other “good” clumps to 1:

r.mapcalc "no_data_mask = if(pat_DTM_2008_derived_2m_clump == 264485050 || \
   pat_DTM_2008_derived_2m_clump == 197926480 || \
   pat_DTM_2008_derived_2m_clump == 3, null(), 1)"

This mask map looks like this:

Mask map from all clumps except for the large outer clumps

We now activate this MASK and generate a copy of the original map into a new map name by using map algebra again (this just keeps the data matched by the MASK). Eventually we remove the MASK and verify the result:

# apply the mask
r.mask no_data_mask
# generate a copy of the DEM, filter on the fly
r.mapcalc "pat_DTM_2008_derived_2m_fixed = pat_DTM_2008_derived_2m"
# assign a nice color table
r.colors pat_DTM_2008_derived_2m_fixed color=srtmplus
# remove the MASK
r.mask -r

And the final DEM is now properly cleaned up in terms of NULL values (no data):

DEM cleaned up for no data

Enjoy.

The post Selective data removal in an elevation map by means of floodfilling appeared first on GFOSS Blog | GRASS GIS Courses.

Share and manage your Data with QGIS Cloud and WFS-T

A lot of people are using QGIS Cloud as a service with ready to use QGIS webclient. It’s very easy to publish data and share maps in this way. But QGIS Cloud has more power under the hood. A not so obvious feature of QGIS Cloud is the option to share your data via Web Feature Service (WFS) and manage them via Web Feature Service Transactional (WFS-T). “The basic Web Feature Service allows querying and retrieval of features. A transactional Web Feature Service (WFS-T) allows creation, deletion, and updating of features” (Wikipedia). With WFS-T you have full access to your vector data for editing over the web. Since QGIS Server includes WFS-T functionality, you can manage and edit your data served by QGIS Cloud from every client supporting WFS-T. In addition, with QGIS Cloud Pro you have the option to control access to your published WFS.

How to setup a QGIS Cloud WFS-T in few steps:

  1. Setup a QGIS Project containing the data you like to pubish as WFS-T

  2. Load local vector data of your choice to your project.

  3. Define vector layers you wish to publish and set the appropriate settings for them in the following way:
    • open the Project Properties -> OWS Server tab.
    • scroll to the WFS-Capabilities section and setup the appropriate settings. Tick Published, Update, Insert and Delete for every layer you want to publish.

  • additionally you can set the published fields of every layer in the Layer Properties -> Fields tab.

  • Publish the project on QGIS Cloud.
    • save the project. (If you don’t have installed the QGIS Cloud plugin, than install it from the official QGIS Plugin Repository)
    • open the QGIS Cloud plugin and log in your QGIS Cloud account. (If you don’t have a QGIS Cloud account, sign up a new account).
    • upload the local data to your QGIS Cloud database (if you don’t have a QGIS Cloud database, create one from the QGIS Cloud plugin).
    • publish the project via QGIS Cloud plugin.
    • that’s it!

Have a look at the Services tab of the QGIS Cloud Plugin. There you will find the URL for Public WMS. Your just created WFS has the same URL. Now you can start working with WFS and WFS-T.

Working with WFS-T in QGIS Desktop

You can access your WFS-T with QGIS or any other client which supports WFS and WFS-T. As an example here we show how to access WFS with QGIS Desktop:

  1. Open the QGIS WFS Server connections dialog (Layer -> Add WFS Layer … ).
  2. Add a new connection
  3. Give the connection a name of your choice and add the above created URL
  4. Click connect and you will see the just published WFS layers
  5. Add one or more of them to your project

Thus you have set the Update, Insert and Delete options for the WFS, these layers can be edited in QGIS like any other editable layer.

All the services published under QGIS Cloud Free are public and accessible by everyone. If you need resctricted access , you can order the QGIS Cloud Pro plan.

Follow @QGISCloud on Twitter for QGISCloud related news and infos.

Sourcepole at FOSS4G 2014 in Portland

In one week, the 2014 FOSS4G Conference will start in Portland/Oregon. Sourcepole supports this major event as a bronze sponsor.

Our conference contributions:

Workshop presented by Horst Düster (@moazagotl)

  • Tuesday afternoon: QGIS Plugin Development with PyQt4 and PyQGIS

Presentations by Pirmin Kalberer (@PirminKalberer)

  • Thursday, Session 2, Track 7, 13:00 - 13:25: State of QGIS Server
  • Thursday, Session 2, Track 7, 13:30 - 13:55: From Nottingham to PDX: QGIS 2014 roundup
  • Thursday, Session 3, Track 6, 16:25 - 13:25: Easy ETL with OGR

Meet Pirmin and Horst at Sourcepole’s exhibition booth and have a look at our latest products.

We’re looking forward to meet you in Portland next week!

Follow @Sourcepole for selected QGIS news and other Open Source Geospatial related infos.

Scottish QGIS User Group – 21 October, Edinburgh

The next QGIS user group meeting in Scotland is happening on 21st October 2014.
It is being held in the School of Informatics at Edinburgh University.  For more info about the venue: http://www.ed.ac.uk/schools-departments/informatics/about/location

This is your chance to offer a short talk or presentation or workshop so we can build an exciting programme for the day.  The final programme and agenda will be released closer to the date.  Please let me know through the contact form or comments or twitter (@mixedbredie) if you have a presentation or talk you would like to share.

Ross


WMS Legend Plugin for Leaflet

This weekend I was updating our map gallery at http://maps.kartoza.com and I wanted to have WMS legends in my maps. The maps are mostly generated using QGIS server which also produces a nice looking graphic for its getLegendGraphic requests. Since Leaflet does not seem have a legend control out of the box, I wrote a small leaflet plugin to do it.

Leaflet WMS Legend Plugin

In the future I may extend the control to automatically fetch getLegendGraphics from all loaded WMS layers, but for now it simply takes a complete legend graphic URI as parameter.

Leaflet is a great web mapping client and extending it with little plugins is very easy to do. If you want to use the plugin I wrote, head over to the plugin repository and give it a try!

Sourcepole Kursprogramm Herbst 2014

Im November 2014 bietet Sourcepole wieder sein kompetentes Kursprogramm rund um alle GDI Komponenten an. Zu allen Kursen gehört umfangreiches Kursmaterial, Mittagessen und Kaffepausen. Bei Buchung eines Grundkurses und dem darauf folgenden Aufbaukurs erhalten die Teilnehmer Rabatt auf den Kurspreis.

Geo-Datenbank:

  • PostgreSQL / PostGIS Einführung (3. - 4. November 2014)
  • PostgreSQL / PostGIS für Fortgeschrittene (5. November 2014)

Desktop GIS

  • QGIS 2.4 / Enterprise Desktop Grundkurs (10. - 11. November 2014)
  • QGIS 2.4 / Enterprise Desktop für Power User (12. November 2014)

GDI

  • Verteilte GDI mit der QGIS Suite und PostgreSQL (20. November 2014)

QGIS Programmierung

  • QGIS 2.4 / Enterprise Plugin Entwicklung mit PyQt4 und PyQGIS (17. - 18. November 2014)

Informationen zu den Kursen und die Online Anmeldung finden Sie im Kursprogramm

Wir freuen uns darauf Sie in Zürich begrüssen zu können.

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