Back in 2013 maps were generated almost daily to track the immediate usage of the then new coordinate location within the project. An animation was then created by Denny & Lydia showing the amazing growth which can be seen on commons here. Recently we found the original images used to make this animation starting in June 2013 and extending to September 2013, and to celebrate the fourth birthday of Wikidata we decided to make a few new animations.
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I has been another 5 months since my last post about the Wikidata maps, and again some areas of the world have lit up. Since my last post at least 9 noticeable areas have appeared with many new items containing coordinate locations. These include Afghanistan, Angola, Bosnia & Herzegovina, Burundi, Lebanon, Lithuania, Macedonia, South Sudan and Syria.
The difference map below was generated using Resemble.js. The pink areas show areas of difference between the two maps from April and October 2016.
The Google Assistant is essentially a chat bot that you can talk too within the new Allo chat app. The assistant is also baked into some new Google hardware, such as the pixel phones. During a quick test of the assistant, I noticed that if you ask it to “tell me an interesting fact” sometimes it will respond with facts from Wikipedia. Continue reading
The RevisionSlider is an extension for MediaWiki that has just been deployed on all Wikipedias and other Wikimedia websites as a beta feature. The extension was developed by Wikimedia Germany as part of their focus on technical wishes of the German speaking Wikimedia community. This post will look at the RevisionSliders design, development and use so far.
I start this post not by talking about Facebook, but about Google Photos. Google now offers unlimited ‘high resolution’ images within its service where high resolution is defined as 16MP for an image and 1080p for video. Of course there is some compression here that some may argue against but photos and video can also be uploaded at original quality (exactly as captured) and the cost of space for these files is very reasonable. So, It looks like I have found a new home for my piles of photos and videos that I want to be able to look back at in 20 years!
Prior to Google Photos developments I stored a reasonable number of images on Facebook, and now I want to also add them all to Google Photos, but that is not as easy as I first thought. All of your Facebook data can easily be downloaded which includes all of your images and videos, but not exactly as they were when you uploaded them, as they have all of the exif data such as location and time stripped. This data is actually available in a html file which is served with each Facebook album. So, I wrote a terribly hacky script in PHP for Windows to extract that data and re add it to the files so that they can be bulk uploaded to Google Photos and take advantage of the timeline and location features.
The code can be found below (it looks horrible but works…)
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<?php // README: Set the path to the extracted facebook dump photos directory here $directory = 'C:/Users/username/Downloads/facebook-username/photos'; // http://www.sno.phy.queensu.ca/~phil/exiftool/ // README: Download this and set the path here (of the renamed exe) $tool = 'C:\Users\username\exiftool.exe'; //////////////////////////////////////////////// // Do not touch anything below here... // =] //////////////////////////////////////////////// echo "Starting\n"; $albums = glob( $directory . '/*', GLOB_ONLYDIR ); foreach ( $albums as $album ) { echo "Running for album $album\n"; $indexFile = $album . '/index.htm'; $dom = DOMDocument::loadHTMLFile( $indexFile ); $finder = new DomXPath( $dom ); $blockNodes = $finder->query( "//*[contains(concat(' ', @class, ' '), ' block ')]" ); foreach ( $blockNodes as $blockNode ) { $imageNode = $blockNode->firstChild; $imgSrc = $imageNode->getAttribute( 'src' ); $imgSrcParts = explode( '/', $imgSrc ); $imgSrc = array_pop( $imgSrcParts ); $imgLocation = $album . '/' . $imgSrc; echo "Running for file $imgLocation\n"; $details = array(); $metaDiv = $blockNode->lastChild; $details['textContent'] = $metaDiv->firstChild->textContent; $metaTable = $metaDiv->childNodes->item( 1 ); foreach ( $metaTable->childNodes as $rowNode ) { $details[$rowNode->firstChild->textContent] = $rowNode->lastChild->textContent; } $toChange = ''; $toChange[] = '"-EXIF:ModifyDate=' . date_format( new DateTime(), 'Y:m:d G:i:s' ) . '"'; if ( array_key_exists( 'Taken', $details ) ) { $toChange[] = '"-EXIF:DateTimeOriginal=' . date_format( new DateTime( "@" . $details['Taken'] ), 'Y:m:d G:i:s' ) . '"'; } else { continue; } if ( array_key_exists( 'Camera Make', $details ) ) { $toChange[] = '"-EXIF:Make=' . $details['Camera Make'] . '"'; } if ( array_key_exists( 'Camera Model', $details ) ) { $toChange[] = '"-EXIF:Model=' . $details['Camera Model'] . '"'; } // Doing this will cause odd rotations.... (as facebook has already rotated the image)... // if ( array_key_exists( 'Orientation', $details ) ) { // $toChange[] = '"-EXIF:Orientation=' . $details['Orientation'] . '"'; // } if ( array_key_exists( 'Latitude', $details ) && array_key_exists( 'Longitude', $details ) ) { $toChange[] = '"-EXIF:GPSLatitude=' . $details['Latitude'] . '"'; $toChange[] = '"-EXIF:GPSLongitude=' . $details['Longitude'] . '"'; // Tool will look at the sign used for NSEW! $toChange[] = '"-EXIF:GPSLatitudeRef=' . $details['Latitude'] . '"'; $toChange[] = '"-EXIF:GPSLongitudeRef=' . $details['Longitude'] . '"'; $toChange[] = '"-EXIF:GPSAltitude=' . '0' . '"'; } exec( $tool . ' ' . implode( ' ', $toChange ) . ' ' . $imgLocation ); } } echo "Done!\n"; |
I would rewrite it but I have no need to (as it works). But when searching online for some code to do just this I came up short and thus thought I would post the rough idea and process for others to find, and perhaps improve on.
So, biggest turnout at a UK referendum with 72.2%, we have only had 3 though.
It was so close, 27.8% didn’t vote and thus 34.7% of the UK population wanted to remain and 37.5% wanted to leave. The pie chart really emphases this.
As for comparing the 2 referendums, the vote to join the EEC in 1975 saw 17.3 million vote join with only 8.4 million against.
With the BrExit a similar number (in the scheme of things) wanted to remain with 16.1 but with a whopping 17.4 wishing to leave.
Interestingly the turnout for the referendum to join the European Communities in 1975 and the BrExit referendum both had a higher turnout than any European Union Parliamentary election. The highest turnout for the EUP elections was in 1994 with 49.4%.
Let’s see what happens over the next 5 years!
Geospatial search is up and running for the Wikidata Query Service! This allows you to search for items with coordinates that are located within a certain radius or within a bounding box.
Along side the the map that can be used to display results for the query service this really is a great tool for quickly visualizing coverage.
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!
Chrome Extension Generator
by yeoman is an npm package that can be used to very easily scaffold out a Chrome extension. Over the past year I have poked and prodded at a few chrome extensions, and ended up publishing one to display download counts on GitHub. I highly recommend this generator, it creates everything you need out of the box and also enables easy set-up of permissions, actions as well as auto rebuild and reload into Chrome for testing.
In my eyes the van was perfect, and was decently priced, so I was quick to snap it up, although naturally every second hand vehicle is going to have a few issues, some of which I missed and some which got slightly worse after the initial drive home. Below is a quick snapshot of the issues that I encountered and how I dealt with them for the MOT.
Those things that could wait
- A handful of small scratches and a few dents, nothing to worry about.
- The interior wood panelling had a hole in it, caused by something impacting the outside of the body, but the body had been sorted, the wood just needed fixing up, no MOT issues here.
- When changing into 5th something made an odd sound, a small crunch, though it didn’t feel too bad, so probably not worth worrying about at this early stage.
- One of the mirrors was slightly smashed (totally my fault). It turns out I was not quite ready to reverse this van out of the driveway I had it parked on.
Those that had to be fixed
- The horn didn’t work at all! This is a requirement.
- I couldn’t find reverse gear at all! I’m sure reverse functioning on a vehicle that has reverse is probably an MOT requirement.
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