Tutorials and walkthroughs
How we used OpenStreetMap and Wikidata to map street names across Europe – Part 2
A walkthrough presenting the data sources used for the "Mapping Diversity" project and of how we extracted and combined journalistically relevant information – and of the many challenges encountered during the process.
How we used OpenStreetMap and Wikidata to map street names across Europe – Part 1
A walkthrough presenting the approach and steps underlying our analysis of street names by gender. The method is based on the combination of data from Wikidata and OpenStreetMap with R.
How to visualise risk: a modern implementation of the Risk Characterisation Theatre
A different visual approach to associate likelihood of occurrence of a given event to the lived experience of people viewing the graph. An introduction to a new interface developed by OBC Transeuropa.
How to dig the wealth of information stored by Wikidata and use it for journalism: a new R package
Our new R package 'tidywikidatar' makes it easier for data journalists to take advantage of the information available on Wikidata. This walkthrough exemplifies the main functionalities of the package.
How we created a dashboard on internet speed in Europe
What’s the average internet speed in Europe? Our new dashboard shows the extent of the digital divide between, and within, European countries – here’s how it was made and what's the key R code behind it.
How to use Google Earth Studio to visualise data
This post describes a workflow and some points of reference for anyone tempted by the idea of using Google Earth for data visualisation, based on the R language.
How to handle data grids: a 3D video
The video points at some of the issues that characterise data grids on maps, and shows how gridded data can be generated via satellite imagery and machine learning techniques.
How to find the population-weighted centre of local administrative units
Centroids are sometimes quite far from the actual centre of a town or municipality. A presentation of another strategy to detect its coordinates, based on the European population grid.
How to calculate travel distance between places and each point of the European population grid
You've got some coordinates and the European population grid: how to calculate the travel distances? A step-by-step presentation of a possible strategy based on OpenStreetMap.