Data notes

An online interface for associating latitude/longitude coordinates with administrative units

This post presents a data exploration tool developed by EDJNet. If you have a spreadsheet with longitude and latitude columns and would like to have a look at those data on a map or associate them with administrative units across Europe, you may well find this tool useful. You can try this online, or check out this screencast for an overview of its main features. The interface is available also through the R package latlon2map.

How do data grids look on a map? [3D video]

In this video, I point at some of the issues that characterise data grids and that may generate misunderstandings. In the video, I mention how gridded data can be generated via satellite imagery and machine learning techniques. Of course, such data can be generated also via other means. References This video is based on the data used for this article: Climate warming in Europe, municipality by municipality Municipality-level data for Italy can be accessed through this interactive interface: In marcia con il clima

Google Earth Studio as a data visualisation tool (with R)

Google Earth Studio is a fancy tool that allows for the creation of videos of stunning quality, by making it possible to create smooth transitions between locations across the globe, zooming in closer to the ground, and showing mountains and cities in 3D. Here is their own promo video: However, so far I have not really seen it used for data visualisation, nor I have seen any post online discussing how to use Google Earth Studio with data.

Beautiful Gantt charts with ggplot2

A new straightforward online interface that makes it easy to create and customise decent-looking charts for grant applications

How to find the population-weighted centre of local administrative units

A structured approach and a new R package to deal with a recurrent question

The prequel to “Finding Tito”

(this post is now published also on balcanicaucaso.org) A few weeks ago, out of curiosity, Davide Denti asked me if I knew how to parse OpenStreetMap data in order to find all streets and squares dedicated to Tito in the former Yugoslavia. I was unfamiliar with how OpenStreetMap stores data, but after a few quick attempts I managed to extract some data and produce a map that looked meaningful. Early feedback suggested that the data were incomplete, and I did not fully polish the data, but – aware that I would not have the time to work on this in the following weeks, and perhaps I would never pick it up again – I decided to make public the draft document I created.