Author Archives: Heikki Vesanto

Anaconda install with OSGeo4W

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

https://conda.io/miniconda.html

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:

To:

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.

Ireland:

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

Stanley Cup Champions Since 1915

Stanley Cup Champions Since 1915:

Average Location of Stanley Cup Champions Since 1915:

The average locations were created using a window function in PostgreSQL. We can utilise the geography type to take into account the curvature of the earth and make the calculation on a spheroid.

So for the average location of the last five years:

QGIS OpenStreetMap Scales

Save as a text file ending in .xml like qgis_scales.xml

These are the scales OpenStreetMap tiles are rendered in for 96 dpi, so the map will look sharp on most monitors.

The xml file can then be loaded into the project from:

Project> Project Properties…> General> Project scales

Example:

1,000,000 (QGIS default):

1,083,357 (OSM wiki):

1,155,584 (From: 3liz):

Scales from:
OSM wiki