World events often have a dramatic impact on online services. A past example would be the death of Michael Jackson which brought down Twitter and Wikipedia and made Google believe that they were under attack according to the BBC.
Events like the COVID-19 (Coronavirus) pandemic have less instantaneous affect but trends can still be seen to change. Cloudflare recently posted about some of the internet wide traffic changes due to the pandemic and various government announcements, quarantines and lockdowns.
It’s been another 9 months since my last blog post covering the Wikidata generated geo location maps that I have been tending to for a few years now. Writing this from a hammock, lets see what has noticeably changed in the last 9 months using a visual diff and my pretty reasonable eyes.
It has been another 6 months since my last post in the Wikidata Map series. In that time Wikidata has gained 4 million items, 1 property with the globe-coordinate data type (coordinates of geographic centre) and 1 million items with coordinates . Each Wikidata item with a coordinate is represented on the map with a single dim pixel. Below you can see the areas of change between this new map and the once generated in March. To see the equivalent change in the previous 4 months take a look at the previous post.
It’s time for the first 2018 installation of the Wikidata Map. It has been roughly 4 months since the last post, which compared July 2017 to November 2017. Here we will compare November 2017 to March 2018. For anyone new to this series of posts you can check back at the progression of these maps by looking at the posts on the series page.
Each Wikidata Item with a Coordinate Location(P625)will have a single pixel dot. The more Items present, the more pixel dots and the more the map will glow in that area. The pixel dots are plotted on a totally black canvas, so any land mass outline simply comes from the mass of dots. You can find the raw data for these maps and all historical maps on Wikimedia Tool Labs.
Looking at the two maps below (the more recent map being on the right) it is hard to see the differences by eye, which is why I’ll use ImageMagik to generate a comparison image. Previous comparisons have used Resemble.js.
It has only been 4 months since my last Wikidata map update post, but the difference on the map in these 4 months is much greater than the diff shown in my last post covering 9 months. The whole map is covered with pink (additions to the map). The main areas include Norway, Germany, Malaysia, South Korea, Vietnam and New Zealand to name just a few.
It’s been 9 months since my last Wikidata map update and once again we have many new noticable areas appearing, including Norway, South Africa, Peru and New Zealand to name but a few. As with the last map generation post I once again created a diff image so that the areas of change are easily identifiable comparing the data from July 2017 with that from my last post on October 2016.
I originally posted about the Wikidata maps back in early 2015 and have followed up with a few posts since looking at interesting developments. This is another one of those posts covering the changes since the last post, so late 2015, to now, May 2016.
The new maps look very similar to the naked eye and the new ‘big’ map can be seen below.
So while at the 2016 Wikimedia Hackathon in Jerusalem I teamed up with @valhallasw to generate some diffs of these maps, in a slightly more programatic way to my posts following up the 2015 Wikimania!
Recently Wikidata celebrated its third birthday. For the occasion I ran the map generation script that I have talked about before again to see what had changed in the geo coordinate landscape of Wikidata!