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I'm looking forward to tonight's session - I reckon the security checks might take a while - And the Bus thing could be a logistical nightmare (I'm guessing they are using buses as most the site is still off limits?)
I'm sat in block 118 which is near the center of the banking. I've packed my DSLR, a fisheye and long lens, along with a "reasonable" packed lunch ( I decided to leave the ceremonial dagger and over sized hat at home) So I hope they all make it past security OK.
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Is there any statistical analysis of tag sequences that might indicate where the next likely tag is? I.e. if the last three tags were southwest there is a 75% chance that the next tag will be to the North East within a one mile radius?
In short, have you found a way to cheat?
No, I've been working on a football prediction model in my spare time, Its not made me rich yet! So maybe I'll switch my stats resources to predicting Tags;)
That's amazing! how did you make it?
I used some software called Tableau. Its great for datavisualisations, reporting and dashboards. (It can also map Co-Ord's so it can do basic maps!)
Its fairly easy to use once you get your head round how to format the data ready to load, They do a public (Free) version for small datasets and you can load them to the interweb (It can be a bit slow viewing them online so i made a video to speed it up)
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Here is a quick map/video of all the tags in order...*
If I was feeling very geeky/had more time I’d colour code the dots/lines by who made the tags
(*If i’ve downloaded and reformatted the klm file correctly)
[ame="http://www.youtube.com/watch?v=nj85KCluofw&context=C33966e5ADOEgsToPDskIUQzA7EL5b1QczPNmI1lGh"]Bicycle
Tag - YouTube[/ame] -
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I'll look out for you. I've got visions of getting some great shots (I'll probably end up with a load of rubbish, blurry and/or out of focus ones though)