I was talking to a friend about what education levels might look like across Sydney, and a friend challenged me to map it. The map was derived by combining three datasets from the Australian Bureau of Statistics (ABS - a department releasing some great datasets). The first dataset was the spatial data for “SA2” level boundaries, the second the population data for various geographic areas, and the third from the 2011 Census on Non-School Qualification Level of Education (e.g. Certificates, Diplomas, Masters, Doctorates). I aggregated all people with bachelors or higher in an SA2 region, and then divided that number by the total number of people in that region. A different methodology could have been …

EDIT 12-03-2025: I accidentially broke the maps when deleting my AWS account, as the mbtiles were hosted there. Oops. I quite like open data. I like data based on open standards (or mostly open standards) even better. Many transport operators around the world have started releasing their timetable data using (mostly) open standards, e.g. GTFS. One of the nice things about using a standard is that clever people have created tools to work with the timetable data, and those tools can now be used to manipulate timetable data from hundreds of agencies. The magnificent OpenTripPlanner is one such tool, and it works well with 131500’s GTFS data.

This quick tutorial will detail how to prepair the ABS Mesh Blocks to be used with MapBox’s TileMill. Beyond scope is how to install postgresql, postgis and TileMill. There is a lot of documentation how to do these tasks. First, we create a database to import the shapefile and population data into: Using ‘psql’ or ‘SQL Query’, create a new database: CREATE DATABASE transport WITH TEMPLATE postgis20 OWNER postgres; # Query returned successfully with no result in 5527 ms. It is necessary to first import the Mesh Block spatial file using something like PostGIS Loader.

EDIT 12-03-2025: I broke the maps when I deleted my AWS account, which I forgot as hosting the mbtiles. Five years ago I started exploring different mapping technologies by detailing instructions on installing Mapnik and mod_tile. Times have changed significantly in the last five years, and thanks a lot to the products offered by MapBox. After playing with TileMill, MBTiles, Leaflet and UTFGrids, it is great how many annoyances have been fixed by MapBox. I find it enjoyable making maps now, as I no longer need to worry about patching code just to get it to run, or mucking about with oddities in web browser.

A short while ago I wrote about visualizing transport by using 131500’s TDX data, converted to GTFS, and served by GeoServer. Because I’ve started playing around with Google’s Fusion table, I thought it would be interesting to see what all the transit stops in Sydney look like in FT. So, voila!

I have to admit, to me, editing OpenStreetMap is actually a little therapeutic. Sort of like gardening. My first major contribution was when I brought my little QStarz GPS unit across Indonesia, by train, sitting against the window. The most recent contribution was our trip to Dubbo, where I helped fill in a few missing roads, and added an initial outlay of Dubbo Zoo.

Nearly everyone on our team stayed up the entire night; most of us didn’t sleep at all. It had been years since I last pulled an all-nighter, but they had always been for good causes. I had just completed another one and had an immense amount of fun in the process. The reason? GovHack. GovHack aimed to encourage the Australian government to make as much information openly available as possible. The challenge was to take the scattered pieces of information already available and turn them into useful tools or visualisations for the public.

I’ve been looking for a simple, no-hassles GPS display program for Linux, and I believe I finally found one: TangoGPS. My requirements were quite simple; I needed something that would talk to gpsd, and display a dot on OpenStreetMaps. I’ve been able to do this in other programs (even in 3d in WorldWind), but I wanted something to download the maps for me, and GTK+ would be a plus. TangoGPS was easy to install (apt-get install tangogps), and on my test ‘drive’ home tonight on the train, worked a treat. See related screenshots.

A normal internet connection gets attacked, a lot. The majority of attacks are of the form “hello, anybody there?” – where most people just don’t answer. But sometimes, just sometimes, the question gets an answer. Depending on the answer, the attacker will start to explore. A few weeks back I was a little bored and started fiddling. I wanted to play with my Cisco, but also wanted to play with OSSEC, but also has a GIS craving. In the end I decided to create a map of the people who ask, “hello”.

Status: ✅ You can likely tell that I’ve been having some fun with graphing and mapping recently. I was reading a few articles about GIS and stumbled upon a pretty darn cool project at Webopticon, which included cool pictures. I showed it to a friend thinking they would find it interesting, and then realized: oh! KML has an altitude attribute. That could be interesting. One of my projects is to create maps of Sydney’s traffic, so I have been experimenting heavily with Mapnik and OSM. I figured I could have some fun and finally parse some gps tracks and display the data.