PostGIS Tutorial Data

The OpenGeo (now called Boundless) PostGIS tutorial has long been my recommendation for people just getting started with PostGIS. It provides a broad intro to PostGIS, great for users new to SQL.

Unfortunately they recently removed it from their website. The guide was a fairly old now, so I don’t blame them. But it was a great free resource.

Luckily has saved a copy of it. The course was based on open data, so compiling a similar dataset to complete the course was not difficult.

The course can be accessed at:

And the data can be accesses at (choose the green Clone or download button and Download ZIP):

I would skip the Loading spatial data chapter (very dated at this stage), and just use the ogr2ogr commands in the GitHub readme. Great chance to get started with ogr2ogr as well.

The data is also not 100% the same as the original. So some of the queries will have to be modified. Particularly the neighborhoods are different. So they may have slightly different names/boundaries/capitalization. So keep that in mind when creating your queries, and interpreting the results. But overall the data is pretty similar.

Also, if/when the is gone that will likely be the end of the tutorial. So I would not waste any time completing the it.

Copying Rasters in PostGIS

I ran into a process where I wanted to create copies of rasters in PostgreSQL. While seemingly a simple process this took me a bit of work to figure out.

For my workflow I had three rasters, which all have the same size, and I want to load them into the same PostGIS table with three raster geometry columns. I don’t think this will work for different sized rasters since the rid’s will not match.

Three rasters:

Which I want to copy into:

First to create the merged raster table:

Then to add the rid’s. These are the id’s of the tiles that the raster was split into when loading. If your tile size is large enough then you may only have one.

Then copying the actual data is straighforward (this assumes the raster column in the raster1 datasets is called rast):

Now I still have an issue that QGIS will not load these layers. It will always load the initial raster column no matter what is chosen.

Anaconda install with OSGeo4W

I was coming across some errors when installing Anaconda, Miniconda specifically.

I think part of the reason is I have quite a few installs of Python due to OSGeo4W.

My error:

The solution:

Update the activate.bat file that is called when launching from the start menu. For me located in:

We need to add in the following to clear out and reset the python environment before launching anaconda:

So, editing the file from:


Updating the paths as required.

This just clears out the python and windows environmental variables before launching, similar to what OSGeo4W does.

Ireland and Dublin Street Orientations

Based on the work by:

Geoff Boeing: Comparing City Street Orientations

Rixx: Street Orientations

The graphs show the percentage of streets that run in a certain orientation. So for a grid based city like Chicago, there will be a heavy bias in north/south and east/west streets. Bearing in mind north and south will be the same (unless there are one-way streets, which only count in the direction they run in).

But for older cities that formed naturally, without modern city planning, the streets should be more varied.


Largest populated places by population. Based on the Ordnance Survey Ireland urban areas. As it is OSI data, Northern Ireland is not included.

Dublin Postcodes:

Some areas are clearly impacted by large motorways running through them.

And for non-Dubliners, a map of the postal district boundaries:

I updated the script by Rixx, so that it would take a ShapeFile as an input with a few caveats (it must be WGS84, it must have an attribute that has the are name and it must be called settl_name).

Check out the script at: GitHub