I keep seeing more evidence that many people and organizations are migrating to open source GIS on the desktop. In many cases a mix of proprietary and open source GIS is in use. I’m wondering about other’s experiences in this area. To gain some insight, I’ve created a poll (right margin). Please take a second and vote.

QgisToMapServer converts a saved QGIS project file to a map file, ready to be served with MapServer. A binary preview version for both Mac and Windows is available now. For Linux/Unix users, the source code is available from the Git repository. QgisToMapServer is different from the plugin in QGIS. It is a standalone Python application providing the following features: Create MapServer map files from saved QGIS project files Preview the map file (requires shp2img)

Matthew Perry poses the question: Why is the command line a dying art?. Funny how these things go–I was thinking about posting on this same topic just the other day, although I may be repeating myself. The efficiencies of the command line cannot be overstated. I too have seen that deer in the headlights look when a GUI-only user is first exposed to a command prompt. I have also seen people spend days on a data conversion project that could easily be accomplished in hours (or less).

It’s true—everything you have ever done is wrong. If you are a developer, look at the code you wrote five years ago—it’s wrong. If you collect and store data—it’s wrong. This is the nature of human endeavor. The world used to be flat. The earth used to be the center of the universe. Discovery and development is an iterative process. What we do today will likely be replaced tomorrow. Just because we can’t be perfect at the outset doesn’t mean we shouldn’t try.

One of the difficult things to track in the open source world is the number of people who actually use your software. In the proprietary commercial world you have licenses, invoices, and so forth. In the case of QGIS, we can track the total number of downloads from qgis.org, but this doesn’t represent the total installed base. It is impossible to accurately determine the actual number of people using QGIS, but we can get an approximation of the number and where they are in the world.

One of the hurdles in developing a QGIS plugin with Python is just getting the basics down. Getting the plugin setup so it is recognized by QGIS and properly adds it’s menu and toolbar items can be a bit of a chore, especially the first time. To make the process easier, I put together a web tool to generate a plugin that can be used as a starting point. The tool creates a fully functional plugin that can be loaded in QGIS 1.

Using Git with Subversion makes adding new features easy. Here are the metrics for my latest QGIS hack: SVN revisions by others while working on my branch: 177 Time to complete merge with latest SVN revision: 1 second Conflicts: None Coincidence? Maybe not.

Do you remember this? If so, you’ve been using QGIS a long time… OGR and PostGIS support No raster support Three widgets on the Symbology tab No symbology in the legend But you could use it handily on a 640x480 display.

This is a project I have had lingering around for a while. It is a geospatial data browser written in Python using the PyQt and QGIS bindings. It allows you to navigate a tree structure and preview raster and vector datasets. Metadata extracted from the data can be viewed as well. It supports drag and drop for any target that accepts filenames (e.g. QGIS). For screenshots and more, see http://geoapt.com/geoapt-data-browser.

In my last post I created a poll to get an idea of the extent of migration to open source GIS on the desktop. The results indicated that nearly 50% of the people using open source GIS were still using their proprietary software as well. You can view the results of the poll using the Polls Archive link below the current poll. This leads one to wonder if it is the state of the open source software or other reasons that prevent a full migration.

This week we highlight the Points to Paths plugin, a handy way to convert a series of points into line features. This plugin lets you “connect the dots” based on an common attribute and a sequence field. The attribute field determines which points should be grouped together into a line. The sequence field determines the order in which the points will connected. The output from this plugin is a shapefile.

$ uptime 20:20:56 up 434 days, 15:31, 2 users, load average: 2.32, 0.89, 0.53

The book is now available in beta. Excerpts from two of the chapters are available online. What’s a beta book? Well in this case it’s a lot like software—feature complete and ready for you to give it a spin. The announcement from the Pragmatic Bookshelf: The Pragmatic Bookshelf | Desktop GIS “From Google Maps to iPhone apps, geographic data and visualization is quickly becoming a standard part of life. Desktop GIS shows you how to assemble and use an Open Source GIS toolkit.

Getting started with Python and QGIS 3 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 Installing OSGeo4W Setting the Environment pb_tool Working on the Command Line IDE Example Workflow Creating a New Plugin Working with Existing Plugin Code Troubleshooting

In Beyond the RDBMS Sean references Martin’s post which in turn points us to a paper (gotta love the web in action) promoting “The End of an Architectural Era”. This paper advocates the complete rewrite (well trashing actually) of current RDBMS code in favor of specialized “engines”. It’s an interesting read with some good points until I got to this: Our current favorite example of this approach is Ruby-on-Rails. This system is the little language, Ruby, extended with integrated support for database access and manipulation through the “model-view-controller” programming pattern.

Take a look at: The Volcano and the Buffer It includes an example that uses CSV, GDAL/OGR VRT, QGIS, and fTools to figure out if I was in danger of being buried in a volcanic ash fall (not much danger but sounds dramatic).

The Plugin Builder allows you to quickly create a skeleton Python plugin by generating all that boring boilerplate that every plugin requires. Here is a short video showing how to create, compile, and install a new plugin. For more information, see QGIS Workshop Documentation and the PyQGIS Cookbook.

The recent release of QGIS 1.0 provides an excellent opportunity for developers looking to create standalone mapping applications with Python. I recently posted an article on creating a very simple standalone application with Python and QGIS 1.0. Much of the Python efforts thus far have been devoted to creating QGIS plugins. I think now that we have a stable API, you’ll begin to see more custom applications that meet a specialized need.

The application deadline for the Google Summer of Code is nearing (April 9). If you are interested in working on QGIS as part of GSOC and need ideas, please see Quantum GIS Wiki. We are waiting for your proposal!

I added a simple feature that allows you to search the IRC logs from #qgis back to May 10, 2006. The search is case sensitive and will return a list of all matches. Not too smart but it will get you close to what you want. See the link at http://irclogs.geoapt.com/qgis