This is the first part of a series of blog post regarding a project I did with 2 master degree colleagues. The main entry to this series is here. Today, we will discuss the problematic, the data and the variables selection from those data in respect of the problematic. Althought it is not really technical post, it provides some context and elements do someone who wants to redo the analysis.
Hello, the project that I was talking about earlier is finally over. But it tooks me (and my colleagues) so much time to do that I wasn’t able to post about it. Anyway, the project website is online and can be seen there: http://m2_projet_mexique.frama.io/website/ Ok, it is in French but, first, it is for a French diploma in a French university, so… And second, I’ll make translations of the posts here.
Hi all ! Sorry this map is in French but it was a school assessment, so… French it is. Disclaimer: You might encounter a lot of french words and links to french webpages. You are warned. The main goal was to work wih PostgreSQL and PostGIS on census data. Franc had around 36 000 communes which is the smallest administrative unit. Since it is too small to represent on a map, we worked on the Unités Urbaines1.