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Month: April 2020

Wikidata Map May – November 2019

It’s time for another blog post in my Wikidata map series, this time comparing the item maps that were generated on the 13th May 2019 and 11th November 2019 (roughly 6 months). I’ll again be using Resemble.js to generate a difference image highlighting changed areas in pink, and breakdown the areas that have had the greatest change throughout the 6 month period. The full comparison image can be found here.

Differences in the Wikidata map highlights in pink for changes between May 2019 and November 2019

If you don’t know what Wikidata is, or what items are then give this page a read. This map shows all items that have a “coordinate location” as a light pixel on a black canvas. The more items with coordinates in a single pixel, the brighter that pixel. This map is generated using code that can be found here.

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2019 Year Review

A year or so ago I decided to start making yearly posts reviewing one of my online list. I’m a bit late this year considering it is April already, but it’s been one rollercoaster after another during the start of 2020.

Blog stats

  • 23,940 page views, up from 12,374 (93% increase)
  • 16,276 visitors, up from 8,578 (89% increase)
  • 11 posts, down from 25
  • 101 comments, up from 28

It’s a shame I wrote less, but I did go travelling for 6 months of the year, so it makes sense.

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WBStack 2020 Update 1

WBStack has now been up and running for 6 months. During that time it has helped 70 people create 178 MediaWiki installs running Wikibase, a SPARQL query service and quickstatements, all at the click of a button, with a total of around 200,000 edits across all sites.

The most active site is currently virus-taxonomy.wiki.opencura.com which was developed during the Virtual Biohackathon on COVID-19 as a staging environment for “improving the taxonomy of viruses on Wikidata”. It currently stands at 20,000 edits, around 7000 Items.

Screenshot of the virus-taxonomy Wikibase Main Page, 19 April 2020

Thanks again to Rhizome, who run their very own Wikibase, for their support paying the Google Cloud bill in the early stages of this project.

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Automatic cleanup of old gcloud container images

I have been using Google Cloud Build for a budget project for roughly a year now. Cloud Build stores built images in a storage bucket which you are of course billed for. Within the first weeks of using it I realized that I needed some automated way to cleanup unused and old images that were built there.

At the time I had a quick search around on the web for something already implemented that I could copy, but I came up blank, and decided putting my problem off would be the best solution. I filed issue number 6 for my project and left it for future me.

Now it’s time to finally close that issue, and I hope others might also find the small bash script useful.

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Add Exif data back to Facebook images – 0.10

Screenshot of the Facebook Exif tool version 0.10

In 2019 I wrote a post introducing a tool that I created to add Exif data back to images downloaded as part of a Facebook information download. The tool allowed me to download and delete my uploaded Facebook images while keeping some of the useful data such as date taken. After some Twitter pressure I have finally released an updated and slightly fixed version, and it’s time that I wrote a updated guide to go with it!

What is Exif data?

Exchangeable image file format (officially Exif) is a standard that specifies the formats for images and tags used by digital cameras and other systems handling image files.

Snipped from WIkipedia

Common Exif data for an image includes the time that it was taken, the camera make and model and the coordinate data for the location of the image.

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